The historical and cultural districts of a city serve as important cultural heritage and tourism resources.This paper focused on four such districts in Yangzhou and performed semantic analysis on online public comment...The historical and cultural districts of a city serve as important cultural heritage and tourism resources.This paper focused on four such districts in Yangzhou and performed semantic analysis on online public comments using ROST CM6 software.According to the high frequency words,attention preference of district site elements,activities and feelings in Yangzhou historical and cultural districts were analyzed.Through the analysis of semantic network and public emotional tendency,the relationship between the protection and utilization of Yangzhou historical and cultural districts and the perception and demand of users were discussed,and some suggestions for the protection,utilization and renewal of historical and cultural districts were put forward.展开更多
Purpose:Changes in the world show that the role,importance,and coherence of SSH(social sciences and the humanities)will increase significantly in the coming years.This paper aims to monitor and analyze the evolution(o...Purpose:Changes in the world show that the role,importance,and coherence of SSH(social sciences and the humanities)will increase significantly in the coming years.This paper aims to monitor and analyze the evolution(or overlapping)of the SSH thematic pattern through three funding instruments since 2007.Design/methodology/approach:The goal of the paper is to check to what extent the EU Framework Program(FP)affects/does not affect research on national level,and to highlight hot topics from a given period with the help of text analysis.Funded project titles and abstracts derived from the EU FP,Slovenian,and Estonian RIS were used.The final analysis and comparisons between different datasets were made based on the 200 most frequent words.After removing punctuation marks,numeric values,articles,prepositions,conjunctions,and auxiliary verbs,4,854 unique words in ETIS,4,421 unique words in the Slovenian Research Information System(SICRIS),and 3,950 unique words in FP were identified.Findings:Across all funding instruments,about a quarter of the top words constitute half of the word occurrences.The text analysis results show that in the majority of cases words do not overlap between FP and nationally funded projects.In some cases,it may be due to using different vocabulary.There is more overlapping between words in the case of Slovenia(SL)and Estonia(EE)and less in the case of Estonia and EU Framework Programmes(FP).At the same time,overlapping words indicate a wider reach(culture,education,social,history,human,innovation,etc.).In nationally funded projects(bottom-up),it was relatively difficult to observe the change in thematic trends over time.More specific results emerged from the comparison of the different programs throughout FP(top-down).Research limitations:Only projects with English titles and abstracts were analyzed.Practical implications:The specifics of SSH have to take into account—the one-to-one meaning of terms/words is not as important as,for example,in the exact sciences.Thus,even in co-word analysis,the final content may go unnoticed.Originality/value:This was the first attempt to monitor the trends of SSH projects using text analysis.The text analysis of the SSH projects of the two new EU Member States used in the study showed that SSH’s thematic coverage is not much affected by the EU Framework Program.Whether this result is field-specific or country-specific should be shown in the following study,which targets SSH projects in the so-called old Member States.展开更多
Due to the rapid increase in the exchange of text information via internet networks,the security and the reliability of digital content have become a major research issue.The main challenges faced by researchers are a...Due to the rapid increase in the exchange of text information via internet networks,the security and the reliability of digital content have become a major research issue.The main challenges faced by researchers are authentication,integrity verication,and tampering detection of the digital contents.In this paper,text zero-watermarking and text feature-based approach is proposed to improve the tampering detection accuracy of English text contents.The proposed approach embeds and detects the watermark logically without altering the original English text document.Based on hidden Markov model(HMM),the fourth level order of the word mechanism is used to analyze the contents of the given English text to nd the interrelationship between the contexts.The extracted features are used as watermark information and integrated with digital zero-watermarking techniques.To detect eventual tampering,the proposed approach has been implemented and validated with attacked English text.Experiments were performed using four standard datasets of varying lengths under multiple random locations of insertion,reorder,and deletion attacks.The experimental and simulation results prove the tampering detection accuracy of our method against all kinds of tampering attacks.Comparison results show that our proposed approach outperforms all the other baseline approaches in terms of tampering detection accuracy.展开更多
This paper is an attempt to discuss the relationship between genre and the thematic progression. Through qualitative analysis of the short story Necklace of Maupassant, it is found that narrative texts always use the ...This paper is an attempt to discuss the relationship between genre and the thematic progression. Through qualitative analysis of the short story Necklace of Maupassant, it is found that narrative texts always use the linear theme pattern and the constant theme pattern, and sometimes the derived theme pattern and other patterns are also used to facilitate the text coherence and the plot development. Thematic progression in various fields has been studied extensively, but the analysis aims to short story is less than text coherence and other aspects. And there are some implications to teaching, writing, reading, and translation.展开更多
The Great Gatsby is universally recognized as one of the masterpieces in the world literature. This thesis adopts the methods of comparison, contrast, and quotation to explore why Great Gatsby is great. This thesis an...The Great Gatsby is universally recognized as one of the masterpieces in the world literature. This thesis adopts the methods of comparison, contrast, and quotation to explore why Great Gatsby is great. This thesis analyzes the text from the three aspects:the greatness in Gatsby's economic success, the greatness in Gatsby's perseverance of love, the greatness of Gatsby's personality. In this way, the readers can understand the great Gatsby's greatness.展开更多
This paper studies the significance of text analysis in translation in regard to the analysis both inside and outside the "text",discussing the weight of analyzing lexical units and stylistic scales in trans...This paper studies the significance of text analysis in translation in regard to the analysis both inside and outside the "text",discussing the weight of analyzing lexical units and stylistic scales in translation and examining the importance of analyzing the translator’s intention,the author’s intention and the target language(TL)readership.展开更多
Objectives: We performed a text analysis of telephone consultation content regarding features of suffering (thoughts that patients cannot express to nurses) perceived by Japanese patients in a stable condition. Method...Objectives: We performed a text analysis of telephone consultation content regarding features of suffering (thoughts that patients cannot express to nurses) perceived by Japanese patients in a stable condition. Methods: Semi-structured interviews were conducted by 8 telephone counselors who listened to patients’ suffering. Interview content was recorded verbatim, text was organized, and a text and association analysis was conducted (cluster analysis, bubble plot analysis, and a co-occurrence network analysis). Results: Seventy-two conversations were obtained and analyzed. It was confirmed that suffering as perceived by stable, Japanese patients had consistent concerns such as “lack of inference,” “privacy issues,” and “nurses’ not intervening on patients’ behalf.” Additionally, expectations of patients when patients are suffering are extremely diverse and were not characterized by specific tendencies. Conclusions: Emotions have a complicated influence in the context of Japanese patients’ suffering. It is necessary to consider the cultural background of expression in Japan to treat patients’ suffering.展开更多
Objectives: The study examined nursing students’ acquisition of good communication skills via text analysis of learning outcomes using cooperative learning. Methods: The study involved 90 first-year students enrolled...Objectives: The study examined nursing students’ acquisition of good communication skills via text analysis of learning outcomes using cooperative learning. Methods: The study involved 90 first-year students enrolled in the nursing department of a Japanese university. Participants were asked to learn three learning tasks considered to heighten communicative ability through firsthand experience using the discussion-based technique of cooperative learning: 1) to engage in self-reflection, 2) to imagine something beyond your own experience, and 3) to accept something that does not fit within the scope of your own experience or thought. A questionnaire survey consisted of five items, including learning challenges 1) to 3) as well as 4) “Satisfaction with the exercises” and 5) “Students’ hopes.” These items were evaluated using text analysis. Results: A total of 79 survey questionnaires were collected (87.8% recovery rate) for analysis. “Self-reflection and self-realizations prompted by the communication exercise” was observed as a characteristic of Task 1, “becoming aware of ideas and opinions different than one’s own by listening to the opinions of others” as a characteristic of Task 2, “deepening relationships by learning about diverse ideas and values through interactions with others” as a characteristic of Task 3, and “the effects of communicating with student subjects” as a characteristic of Task 4. The responses to Task 5 were diverse;no common characteristics were found. The intervention was found to be useful for student engagement and the communication required of nurses. Conclusions: Using cooperative learning discussion in communication class was found to be effective. As nursing is an inherently interpersonal occupation, such effects include important elements.展开更多
By combing 20 documents of the Central Committee on the historical evolution of rural development policies since 1982, we hold that historical evolution has undergone reforms, adjustments, modernization developments a...By combing 20 documents of the Central Committee on the historical evolution of rural development policies since 1982, we hold that historical evolution has undergone reforms, adjustments, modernization developments and new ideas, and the path of reform experienced economic recovery, industrial nurturing agriculture, agriculture modernization and rural revitalization. The study found that: farmers' income has always been the focus of attention; agricultural production has shifted from total demand to green ecology; urban and rural resource elements are not well-organized, resulting in internal contradictions. The implementation of the rural revitalization strategy is an important measure to fundamentally solve the rural development problems in the new era.展开更多
The Analects, Mengzi and Xunzi are the top-three classical works of pre-Qin Confucianism, which epitomized thoughts and ideas of Confucius, Mencius and XunKuang1. There have been lots of spirited and in-depth discussi...The Analects, Mengzi and Xunzi are the top-three classical works of pre-Qin Confucianism, which epitomized thoughts and ideas of Confucius, Mencius and XunKuang1. There have been lots of spirited and in-depth discussions on their ideological inheritance and development from all kinds of academics. This paper tries to cast a new light on these discussions through “machine reading2”.展开更多
With the development of Web 2.0,more and more people choose to use the Internet to express their opinions.All this opinions together into a new form text which contains a lot of valuable emotional information,this is ...With the development of Web 2.0,more and more people choose to use the Internet to express their opinions.All this opinions together into a new form text which contains a lot of valuable emotional information,this is why how to deal with these texts and analysis the emotional information is significant for us.We get three main tasks of sentiment analysis,including sentiment extraction,sentiment classification,sentiment application and summarization.In this paper,based on the R software,we introduced the steps of sentiment analysis in detail.Finally,we collect the movie reviews from the Internet,and use R software to do sentiment analysis in order to judge the emotional tendency of the text.展开更多
Systemic Functional Grammar gives text analysis a theoretical framework.Text analysis is useful for readers to understand the text.Under the theoretical framework of Interpersonal Metafunction proposed by Halliday and...Systemic Functional Grammar gives text analysis a theoretical framework.Text analysis is useful for readers to understand the text.Under the theoretical framework of Interpersonal Metafunction proposed by Halliday and the recipe as register,this article analyzes it from two levels - Mood and Modality system.展开更多
Tourism destination image research has always been a hot issue in tourism research, which is related to the development and sustainability of destination tourism. Mount Tai Scenic Area, a world double-heritage site is...Tourism destination image research has always been a hot issue in tourism research, which is related to the development and sustainability of destination tourism. Mount Tai Scenic Area, a world double-heritage site is taken as the research object. By collecting comments about Mount Tai Scenic Area on Ctrip, and using content analysis, cognitive image, emotional image and overall image of Mount Tai Scenic Area are analyzed with the help of “cognitive-emotional” model. The results show that visitors' perception of the cognitive image of Mount Tai Scenic Area is multi-dimensional;tourists' perception of the emotional image of Mount Tai Scenic Area is positive;the tourists' perception of the overall image of Mount Tai Scenic Area shows a four-layer “core-edge” structure of “core-sub core-sub edge-edge”. On this basis, the paper puts forward some suggestions for improving the tourism development of Mount Tai Scenic Area.展开更多
As the popularity of digital images is rapidly increasing on the Internet, research on technologies for semantic image classification has become an important research topic. However, the well-known content-based image...As the popularity of digital images is rapidly increasing on the Internet, research on technologies for semantic image classification has become an important research topic. However, the well-known content-based image classification methods do not overcome the so-called semantic gap problem in which low-level visual features cannot represent the high-level semantic content of images. Image classification using visual and textual information often performs poorly since the extracted textual features are often too limited to accurately represent the images. In this paper, we propose a semantic image classification ap- proach using multi-context analysis. For a given image, we model the relevant textual information as its multi-modal context, and regard the related images connected by hyperlinks as its link context. Two kinds of context analysis models, i.e., cross-modal correlation analysis and link-based correlation model, are used to capture the correlation among different modals of features and the topical dependency among images induced by the link structure. We propose a new collective classification model called relational support vector classifier (RSVC) based on the well-known Support Vector Machines (SVMs) and the link-based cor- relation model. Experiments showed that the proposed approach significantly improved classification accuracy over that of SVM classifiers using visual and/or textual features.展开更多
The literary review presented in the following paper aims to analyze the tracking tools used in different countries during the period of the COVID-19 pandemic. Tracking apps that have been adopted in many countries to...The literary review presented in the following paper aims to analyze the tracking tools used in different countries during the period of the COVID-19 pandemic. Tracking apps that have been adopted in many countries to collect data in a homogeneous and immediate way have made up for the difficulty of collecting data and standardizing evaluation criteria. However, the regulation on the protection of personal data in the health sector and the adoption of the new General Data Protection Regulation in European countries has placed a strong limitation on their use. This has not been the case in non-European countries, where monitoring methodologies have become widespread. The textual analysis presented is based on co-occurrence and multiple correspondence analysis to show the contact tracing methods adopted in different countries in the pandemic period by relating them to the issue of privacy. It also analyzed the possibility of applying Blockchain technology in applications for tracking contagions from COVID-19 and managing health data to provide a high level of security and transparency, including through anonymization, thus increasing user trust in using the apps.展开更多
Purpose: This review examines the diagnostic value of transvaginal 3D ultrasound image texture analysis for the diagnosis of uterine adhesions. Materials and Methods: The total clinical data of 53 patients with uterin...Purpose: This review examines the diagnostic value of transvaginal 3D ultrasound image texture analysis for the diagnosis of uterine adhesions. Materials and Methods: The total clinical data of 53 patients with uterine adhesions diagnosed by hysteroscopy and the imaging data of transvaginal three-dimensional ultrasound from the Second Affiliated Hospital of Chongqing Medical University from June 2022 to August 2023 were retrospectively analysed. Based on hysteroscopic surgical records, patients were divided into two independent groups: normal endometrium and uterine adhesion sites. The samples were divided into a training set and a test set, and the transvaginal 3D ultrasound was used to outline the region of interest (ROI) and extract texture features for normal endometrium and uterine adhesions based on hysteroscopic surgical recordings, the training set data were feature screened and modelled using lasso regression and cross-validation, and the diagnostic efficacy of the model was assessed by applying the subjects’ operating characteristic (ROC) curves. Results: For each group, 290 texture feature parameters were extracted and three higher values were screened out, and the area under the curve of the constructed ultrasonographic scoring model was 0.658 and 0.720 in the training and test sets, respectively. Conclusion Relative clinical value of transvaginal three-dimensional ultrasound image texture analysis for the diagnosis of uterine adhesions.展开更多
Social media is an essential component of our personal and professional lives. We use it extensively to share various things, including our opinions on daily topics and feelings about different subjects. This sharing ...Social media is an essential component of our personal and professional lives. We use it extensively to share various things, including our opinions on daily topics and feelings about different subjects. This sharing of posts provides insights into someone’s current emotions. In artificial intelligence (AI) and deep learning (DL), researchers emphasize opinion mining and analysis of sentiment, particularly on social media platforms such as Twitter (currently known as X), which has a global user base. This research work revolves explicitly around a comparison between two popular approaches: Lexicon-based and Deep learning-based Approaches. To conduct this study, this study has used a Twitter dataset called sentiment140, which contains over 1.5 million data points. The primary focus was the Long Short-Term Memory (LSTM) deep learning sequence model. In the beginning, we used particular techniques to preprocess the data. The dataset is divided into training and test data. We evaluated the performance of our model using the test data. Simultaneously, we have applied the lexicon-based approach to the same test data and recorded the outputs. Finally, we compared the two approaches by creating confusion matrices based on their respective outputs. This allows us to assess their precision, recall, and F1-Score, enabling us to determine which approach yields better accuracy. This research achieved 98% model accuracy for deep learning algorithms and 95% model accuracy for the lexicon-based approach.展开更多
基金the Open Project of China Grand Canal Research Institute,Yangzhou University(DYH202211)Jiangsu Provincial Social Science Applied Research Excellent Project(22SYB-053).
文摘The historical and cultural districts of a city serve as important cultural heritage and tourism resources.This paper focused on four such districts in Yangzhou and performed semantic analysis on online public comments using ROST CM6 software.According to the high frequency words,attention preference of district site elements,activities and feelings in Yangzhou historical and cultural districts were analyzed.Through the analysis of semantic network and public emotional tendency,the relationship between the protection and utilization of Yangzhou historical and cultural districts and the perception and demand of users were discussed,and some suggestions for the protection,utilization and renewal of historical and cultural districts were put forward.
文摘Purpose:Changes in the world show that the role,importance,and coherence of SSH(social sciences and the humanities)will increase significantly in the coming years.This paper aims to monitor and analyze the evolution(or overlapping)of the SSH thematic pattern through three funding instruments since 2007.Design/methodology/approach:The goal of the paper is to check to what extent the EU Framework Program(FP)affects/does not affect research on national level,and to highlight hot topics from a given period with the help of text analysis.Funded project titles and abstracts derived from the EU FP,Slovenian,and Estonian RIS were used.The final analysis and comparisons between different datasets were made based on the 200 most frequent words.After removing punctuation marks,numeric values,articles,prepositions,conjunctions,and auxiliary verbs,4,854 unique words in ETIS,4,421 unique words in the Slovenian Research Information System(SICRIS),and 3,950 unique words in FP were identified.Findings:Across all funding instruments,about a quarter of the top words constitute half of the word occurrences.The text analysis results show that in the majority of cases words do not overlap between FP and nationally funded projects.In some cases,it may be due to using different vocabulary.There is more overlapping between words in the case of Slovenia(SL)and Estonia(EE)and less in the case of Estonia and EU Framework Programmes(FP).At the same time,overlapping words indicate a wider reach(culture,education,social,history,human,innovation,etc.).In nationally funded projects(bottom-up),it was relatively difficult to observe the change in thematic trends over time.More specific results emerged from the comparison of the different programs throughout FP(top-down).Research limitations:Only projects with English titles and abstracts were analyzed.Practical implications:The specifics of SSH have to take into account—the one-to-one meaning of terms/words is not as important as,for example,in the exact sciences.Thus,even in co-word analysis,the final content may go unnoticed.Originality/value:This was the first attempt to monitor the trends of SSH projects using text analysis.The text analysis of the SSH projects of the two new EU Member States used in the study showed that SSH’s thematic coverage is not much affected by the EU Framework Program.Whether this result is field-specific or country-specific should be shown in the following study,which targets SSH projects in the so-called old Member States.
基金The author extends his appreciation to the Deanship of Scientic Research at King Khalid University for funding this work under grant number(R.G.P.2/55/40/2019),Received by Fahd N.Al-Wesabi.www.kku.edu.sa.
文摘Due to the rapid increase in the exchange of text information via internet networks,the security and the reliability of digital content have become a major research issue.The main challenges faced by researchers are authentication,integrity verication,and tampering detection of the digital contents.In this paper,text zero-watermarking and text feature-based approach is proposed to improve the tampering detection accuracy of English text contents.The proposed approach embeds and detects the watermark logically without altering the original English text document.Based on hidden Markov model(HMM),the fourth level order of the word mechanism is used to analyze the contents of the given English text to nd the interrelationship between the contexts.The extracted features are used as watermark information and integrated with digital zero-watermarking techniques.To detect eventual tampering,the proposed approach has been implemented and validated with attacked English text.Experiments were performed using four standard datasets of varying lengths under multiple random locations of insertion,reorder,and deletion attacks.The experimental and simulation results prove the tampering detection accuracy of our method against all kinds of tampering attacks.Comparison results show that our proposed approach outperforms all the other baseline approaches in terms of tampering detection accuracy.
文摘This paper is an attempt to discuss the relationship between genre and the thematic progression. Through qualitative analysis of the short story Necklace of Maupassant, it is found that narrative texts always use the linear theme pattern and the constant theme pattern, and sometimes the derived theme pattern and other patterns are also used to facilitate the text coherence and the plot development. Thematic progression in various fields has been studied extensively, but the analysis aims to short story is less than text coherence and other aspects. And there are some implications to teaching, writing, reading, and translation.
文摘The Great Gatsby is universally recognized as one of the masterpieces in the world literature. This thesis adopts the methods of comparison, contrast, and quotation to explore why Great Gatsby is great. This thesis analyzes the text from the three aspects:the greatness in Gatsby's economic success, the greatness in Gatsby's perseverance of love, the greatness of Gatsby's personality. In this way, the readers can understand the great Gatsby's greatness.
文摘This paper studies the significance of text analysis in translation in regard to the analysis both inside and outside the "text",discussing the weight of analyzing lexical units and stylistic scales in translation and examining the importance of analyzing the translator’s intention,the author’s intention and the target language(TL)readership.
文摘Objectives: We performed a text analysis of telephone consultation content regarding features of suffering (thoughts that patients cannot express to nurses) perceived by Japanese patients in a stable condition. Methods: Semi-structured interviews were conducted by 8 telephone counselors who listened to patients’ suffering. Interview content was recorded verbatim, text was organized, and a text and association analysis was conducted (cluster analysis, bubble plot analysis, and a co-occurrence network analysis). Results: Seventy-two conversations were obtained and analyzed. It was confirmed that suffering as perceived by stable, Japanese patients had consistent concerns such as “lack of inference,” “privacy issues,” and “nurses’ not intervening on patients’ behalf.” Additionally, expectations of patients when patients are suffering are extremely diverse and were not characterized by specific tendencies. Conclusions: Emotions have a complicated influence in the context of Japanese patients’ suffering. It is necessary to consider the cultural background of expression in Japan to treat patients’ suffering.
文摘Objectives: The study examined nursing students’ acquisition of good communication skills via text analysis of learning outcomes using cooperative learning. Methods: The study involved 90 first-year students enrolled in the nursing department of a Japanese university. Participants were asked to learn three learning tasks considered to heighten communicative ability through firsthand experience using the discussion-based technique of cooperative learning: 1) to engage in self-reflection, 2) to imagine something beyond your own experience, and 3) to accept something that does not fit within the scope of your own experience or thought. A questionnaire survey consisted of five items, including learning challenges 1) to 3) as well as 4) “Satisfaction with the exercises” and 5) “Students’ hopes.” These items were evaluated using text analysis. Results: A total of 79 survey questionnaires were collected (87.8% recovery rate) for analysis. “Self-reflection and self-realizations prompted by the communication exercise” was observed as a characteristic of Task 1, “becoming aware of ideas and opinions different than one’s own by listening to the opinions of others” as a characteristic of Task 2, “deepening relationships by learning about diverse ideas and values through interactions with others” as a characteristic of Task 3, and “the effects of communicating with student subjects” as a characteristic of Task 4. The responses to Task 5 were diverse;no common characteristics were found. The intervention was found to be useful for student engagement and the communication required of nurses. Conclusions: Using cooperative learning discussion in communication class was found to be effective. As nursing is an inherently interpersonal occupation, such effects include important elements.
文摘By combing 20 documents of the Central Committee on the historical evolution of rural development policies since 1982, we hold that historical evolution has undergone reforms, adjustments, modernization developments and new ideas, and the path of reform experienced economic recovery, industrial nurturing agriculture, agriculture modernization and rural revitalization. The study found that: farmers' income has always been the focus of attention; agricultural production has shifted from total demand to green ecology; urban and rural resource elements are not well-organized, resulting in internal contradictions. The implementation of the rural revitalization strategy is an important measure to fundamentally solve the rural development problems in the new era.
文摘The Analects, Mengzi and Xunzi are the top-three classical works of pre-Qin Confucianism, which epitomized thoughts and ideas of Confucius, Mencius and XunKuang1. There have been lots of spirited and in-depth discussions on their ideological inheritance and development from all kinds of academics. This paper tries to cast a new light on these discussions through “machine reading2”.
文摘With the development of Web 2.0,more and more people choose to use the Internet to express their opinions.All this opinions together into a new form text which contains a lot of valuable emotional information,this is why how to deal with these texts and analysis the emotional information is significant for us.We get three main tasks of sentiment analysis,including sentiment extraction,sentiment classification,sentiment application and summarization.In this paper,based on the R software,we introduced the steps of sentiment analysis in detail.Finally,we collect the movie reviews from the Internet,and use R software to do sentiment analysis in order to judge the emotional tendency of the text.
文摘Systemic Functional Grammar gives text analysis a theoretical framework.Text analysis is useful for readers to understand the text.Under the theoretical framework of Interpersonal Metafunction proposed by Halliday and the recipe as register,this article analyzes it from two levels - Mood and Modality system.
基金Sponsored by 2021 Taishan University Young Teachers Fund Project (QN-02-202129)。
文摘Tourism destination image research has always been a hot issue in tourism research, which is related to the development and sustainability of destination tourism. Mount Tai Scenic Area, a world double-heritage site is taken as the research object. By collecting comments about Mount Tai Scenic Area on Ctrip, and using content analysis, cognitive image, emotional image and overall image of Mount Tai Scenic Area are analyzed with the help of “cognitive-emotional” model. The results show that visitors' perception of the cognitive image of Mount Tai Scenic Area is multi-dimensional;tourists' perception of the emotional image of Mount Tai Scenic Area is positive;the tourists' perception of the overall image of Mount Tai Scenic Area shows a four-layer “core-edge” structure of “core-sub core-sub edge-edge”. On this basis, the paper puts forward some suggestions for improving the tourism development of Mount Tai Scenic Area.
基金Project supported by the Hi-Tech Research and Development Pro-gram (863) of China (No. 2003AA119010), and China-American Digital Academic Library (CADAL) Project (No. CADAL2004002)
文摘As the popularity of digital images is rapidly increasing on the Internet, research on technologies for semantic image classification has become an important research topic. However, the well-known content-based image classification methods do not overcome the so-called semantic gap problem in which low-level visual features cannot represent the high-level semantic content of images. Image classification using visual and textual information often performs poorly since the extracted textual features are often too limited to accurately represent the images. In this paper, we propose a semantic image classification ap- proach using multi-context analysis. For a given image, we model the relevant textual information as its multi-modal context, and regard the related images connected by hyperlinks as its link context. Two kinds of context analysis models, i.e., cross-modal correlation analysis and link-based correlation model, are used to capture the correlation among different modals of features and the topical dependency among images induced by the link structure. We propose a new collective classification model called relational support vector classifier (RSVC) based on the well-known Support Vector Machines (SVMs) and the link-based cor- relation model. Experiments showed that the proposed approach significantly improved classification accuracy over that of SVM classifiers using visual and/or textual features.
文摘The literary review presented in the following paper aims to analyze the tracking tools used in different countries during the period of the COVID-19 pandemic. Tracking apps that have been adopted in many countries to collect data in a homogeneous and immediate way have made up for the difficulty of collecting data and standardizing evaluation criteria. However, the regulation on the protection of personal data in the health sector and the adoption of the new General Data Protection Regulation in European countries has placed a strong limitation on their use. This has not been the case in non-European countries, where monitoring methodologies have become widespread. The textual analysis presented is based on co-occurrence and multiple correspondence analysis to show the contact tracing methods adopted in different countries in the pandemic period by relating them to the issue of privacy. It also analyzed the possibility of applying Blockchain technology in applications for tracking contagions from COVID-19 and managing health data to provide a high level of security and transparency, including through anonymization, thus increasing user trust in using the apps.
文摘Purpose: This review examines the diagnostic value of transvaginal 3D ultrasound image texture analysis for the diagnosis of uterine adhesions. Materials and Methods: The total clinical data of 53 patients with uterine adhesions diagnosed by hysteroscopy and the imaging data of transvaginal three-dimensional ultrasound from the Second Affiliated Hospital of Chongqing Medical University from June 2022 to August 2023 were retrospectively analysed. Based on hysteroscopic surgical records, patients were divided into two independent groups: normal endometrium and uterine adhesion sites. The samples were divided into a training set and a test set, and the transvaginal 3D ultrasound was used to outline the region of interest (ROI) and extract texture features for normal endometrium and uterine adhesions based on hysteroscopic surgical recordings, the training set data were feature screened and modelled using lasso regression and cross-validation, and the diagnostic efficacy of the model was assessed by applying the subjects’ operating characteristic (ROC) curves. Results: For each group, 290 texture feature parameters were extracted and three higher values were screened out, and the area under the curve of the constructed ultrasonographic scoring model was 0.658 and 0.720 in the training and test sets, respectively. Conclusion Relative clinical value of transvaginal three-dimensional ultrasound image texture analysis for the diagnosis of uterine adhesions.
文摘Social media is an essential component of our personal and professional lives. We use it extensively to share various things, including our opinions on daily topics and feelings about different subjects. This sharing of posts provides insights into someone’s current emotions. In artificial intelligence (AI) and deep learning (DL), researchers emphasize opinion mining and analysis of sentiment, particularly on social media platforms such as Twitter (currently known as X), which has a global user base. This research work revolves explicitly around a comparison between two popular approaches: Lexicon-based and Deep learning-based Approaches. To conduct this study, this study has used a Twitter dataset called sentiment140, which contains over 1.5 million data points. The primary focus was the Long Short-Term Memory (LSTM) deep learning sequence model. In the beginning, we used particular techniques to preprocess the data. The dataset is divided into training and test data. We evaluated the performance of our model using the test data. Simultaneously, we have applied the lexicon-based approach to the same test data and recorded the outputs. Finally, we compared the two approaches by creating confusion matrices based on their respective outputs. This allows us to assess their precision, recall, and F1-Score, enabling us to determine which approach yields better accuracy. This research achieved 98% model accuracy for deep learning algorithms and 95% model accuracy for the lexicon-based approach.
