| 書目名稱 | Natural Language Processing?for Social Media | | 編輯 | Atefeh Farzindar,Diana Inkpen | | 視頻video | http://file.papertrans.cn/662/661845/661845.mp4 | | 叢書名稱 | Synthesis Lectures on Human Language Technologies | | 圖書封面 |  | | 描述 | In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter‘s impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. 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 Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields | | 出版日期 | Book 20151st edition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02157-2 | | isbn_ebook | 978-3-031-02157-2Series ISSN 1947-4040 Series E-ISSN 1947-4059 | | issn_series | 1947-4040 | | copyright | Springer Nature Switzerland AG 2015 |
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