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Most discourse researchers assume that full semantic understanding is necessary to derive the discourse structure of texts. This book documents an attempt to construct and use automatic and non-semantic computational structures for text summarization.
Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media are gaining ground with full swing. But, till date, no concise set of factors has been yet defined that really affects how writers’ sentiment i.e., broadly human sentiment is expressed, perceived, recognized, processed, and interpreted in natural languages. The existing reported solutions or the available systems are still far from perfect or fail to meet the satisfaction level of the end users. The reasons may be that there are dozens of conceptual rules that govern sentiment and even there are possibly unlimited clues that can convey these concepts from realization to practical implementation. Therefore, the main aim of this book is to provide a feasible research platform to our ambitious researchers towards developing the practical solutions that will be indeed beneficial for our society, business and future researches as well.
Linguistics, Corpus Linguistics, and Machine Translation." --Book Jacket.
This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Applications of Natural Language to Information Systems, NLDB 2009, held in Saarbrücken, Germany, in June 2009.
To join the recent debate on data problem in linguistics, this collection of papers provides complex dual purpose analyses at the interface of semantics and pragmatics (including historical, lexical, formal and experimental pragmatics). Based on several current theories and various types of data taken from a number of languages, it discusses object theoretical issues of referentiality, scalar implicatures, implicit arguments, grammaticalization, co-construction and syntactic alternation in their mutual connections to metatheoretical questions concerning the relationship between data and theory.
First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.
First published in 1989. This Program discusses The Eleventh Annual Conference of the Cognitive Science Society, August 1989 in Ann Arbor, Michigan. The book begins with 66 paper presentations and concludes with 59 poster presentations across over 1000 pages. This program also includes a comprehensive author listing with affiliations and titles.
Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other networking sites, the social media shared by users and the associated metadata are collectively known as user generated content (UGC). To analyze UGC and glean insight about user behavior, robust techniques are needed to tackle the huge amount of real-time, multimedia,