Download Free Authorship Analysis In Chinese Social Media Texts Book in PDF and EPUB Free Download. You can read online Authorship Analysis In Chinese Social Media Texts and write the review.

This Element explores the sentiment and keyword features in both authorship profiling and authorship attribution in social media texts in the Chinese cultural context. This title is also available as Open Access on Cambridge Core.
This Element explores the sentiment and keyword features in both authorship profiling and authorship attribution in social media texts in the Chinese cultural context. The key findings can be summarised as follows: firstly, sentiment scores and keyword features are distinctive in delineating authors' gender and age. Specifically, female and younger authors tend to be less optimistic and use more personal pronouns and graduations than male and older authors, respectively. Secondly, these distinctive profiling features are also distinctive and significant in authorship attribution. Thirdly, our mindset, shaped by our inherent hormonal influences and external social experiences, plays a critical role in authorship. Theoretically, the findings expand authorship features into underexplored domains and substantiate the theory of mindset. Practically, the findings offer some broad quantitative benchmarks for authorship profiling cases in the Chinese cultural context, and perhaps other contexts where authorship profiling analyses have been used. This title is also available as Open Access on Cambridge Core.
Focusing on adversarial legal settings, this Element explores discursive practices in court proceedings which often involve unrepresented parties - private family proceedings and small claims cases. Such proceedings present the main caseload of county and family courts, but pose immense challenges when it comes to legal-lay communication. Drawing on court observations, alongside textual and interview data, the Element pursues three aims: (1) developing the methodological and theoretical framework for exploring discursive practices in legal settings; (2) establishing the link between legal-lay discourse and procedural justice; (3) presenting and contextualising linguistic phenomena as an inherent part of court research and practice. The Element illustrates how linguistic input can contribute to procedural changes and court reforms across different adversarial and non-adversarial legal settings. The exploration of discursive practices embedded in court processes and procedures consolidates and advances the existing court research conducted within the fields of socio-legal studies and forensic linguistics. This title is also available as Open Access on Cambridge Core.
Exploring the interplay of love, money and threat in romance fraud, this Element reveals how language is used to persuade, manipulate, and threaten without causing alarm. It provides the first empirical examination of criminal interactions-in-action that exposes and tracks the grooming process and manipulation techniques from first contact with the fraudster, to the transition between romance and finance, and requests for money and intimate images, before morphing into explicit threats and acts of sextortion. Through the use of a range of interactional methodologies and real romance fraud messages, a new type of criminality in the form of 'romance fraud enabled sextortion' is revealed. The insights contained in this work have clear implications for future directions of academic exploration and practitioner efforts to protect the public. This title is also available as Open Access on Cambridge Core.
Chinese is a discourse-oriented language and the underlying mechanisms of the language involve encoding and decoding so the language can be correctly delivered and understood. To date, there has been a lack of consolidation at the discourse level such that a reference framework for understanding the language in a top-down fashion is still underdeveloped. The Routledge Handbook of Chinese Discourse Analysis is the first to showcase the latest research in the field of Chinese discourse analysis to consolidate existing findings, put the language in both theoretical and socio-functional perspectives, offer guidance and insights for further research and inspire innovative ideas for exploring the Chinese language in the discourse domain. The book is aimed at both students and scholars researching in the areas of Chinese linguistics and discourse analysis.
Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.
The book provides insights from the 2nd International Conference on Communication, Computing and Networking organized by the Department of Computer Science and Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India on March 29–30, 2018. The book includes contributions in which researchers, engineers, and academicians as well as industrial professionals from around the globe presented their research findings and development activities in the field of Computing Technologies, Wireless Networks, Information Security, Image Processing and Data Science. The book provides opportunities for the readers to explore the literature, identify gaps in the existing works and propose new ideas for research.
At the beginning of 2020, as the COVID-19 pandemic swept across the US in multiple waves, health systems had to rapidly develop systems for tracking various aspects related to managing the pandemic. This included not just overall trends in incidence, hospitalizations, and outcomes; but also metrics related to the response. COVID-19 was the first pandemic in the United States since the widespread adoption of electronic health records incentivized by the Meaningful Use program. As a result, the availability of health information was much broader than in any previous pandemic. The widespread impact of COVID-19 also meant that every healthcare institution was affected, and was tracking data related to the pandemic in some form. There has been more focused activity with data and analytics regarding COVID-19 than we have ever had with any other disease, including important advances as well as technical and regulatory obstacles.