Natural Language Processing for Social Media (Synthesis Lectures on Human Language Technologies)
| Author | : | |
| Rating | : | 4.10 (796 Votes) |
| Asin | : | 1627053883 |
| Format Type | : | paperback |
| Number of Pages | : | 166 Pages |
| Publish Date | : | 2016-11-02 |
| Language | : | English |
DESCRIPTION:
Her research interests and expertise are in natural language processing, in particular lexical semantics as applied to near synonyms and nuances of meaning, word and text similarity, classification of texts by emotion and mood, information retrieval from spontaneous speech, information extraction, and lexical choice in natural language generation. from the same university, in 1994. from the Department of Computer Science, Technical University of Cluj-Napoca, Romania, in 1995, and a B.Eng. Diana Inkpen is a Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa, ON, Canada. Dr. She
Must Read/Buy Amazon Customer I just finished reading this wonderful book. The book is written with simple language (easy to read). The topic is cutting edge and there are a lot of examples and case studies inside the book. Read the book!
Atefeh Farzindar is the CEO and co-founder of NLP Technologies, which was founded in Montreal, Quebec, in 2005, and expanded to California in 2014. Farzindar has been serving as a member of the Natural Sciences and Engineering Research Council of Canada (NSERC), the Computer Science Liaison Committee, and the Canadian Advisory Committee to International Organization for Standardization (ISO) since
Over the past few years, online social networking sites have revolutionized the way we communicate with individuals, groups and communities, and altered everyday practices. This provides the opportunity for new applications that use the information publicly available as a result of social interactions. We assume that the readers have basic knowledge in the area of natural language processing and machine learning. This book will help the readers better understand computational linguistics and social media analysis, in particular text-mining techniques and NLP applications (such as summarization, localization detection, sentiment and emotion analysis, topic detection and machine translation) designed specifically for social media texts.. That is apt because a social structure is made up of a set of social actors and a set of the dyadic ties between these actors. The unprecedented volume and variety of user-generated content and the user interaction network constitute new opportunities for understanding social behavior and building socially intelligent systems. The intended audience of this book is researchers who are interested in developing tools and applications for automatic analysis of social media tex