- eBook:Natural Language Processing for Social Media, 3rd Edition
- Author:Anna Atefeh Farzindar, Diana Inkpen
- Edition:3 edition
- Data:April 10, 2020
- Pages:219 pages
Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF).
In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.
2. Linguistic Pre-processing of Social Media Texts
3. Semantic Analysis of Social Media Texts
4. Applications of Social Media Text Analysis
5. Data Collection, Annotation, and Evaluation
6. Conclusion and Perspectives
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