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008			220601s2012 sz | s |||| 0|eng d
020			_a9783031021459
024	7		_a10.1007/978-3-031-02145-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.D343 _b2012 EB
100	1		_aLiu, Bing, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _954426 _d1963-
245	1	0	_aSentiment Analysis and Opinion Mining _cby Bing Liu
250			_a1st edition 2012
264		1	_aCham _bSpringer International Publishing _c2012
300			_a1 recurso en línea (XIV, 167 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Human Language Technologies _x1947-4059
505	0		_aPreface -- Sentiment Analysis: A Fascinating Problem -- The Problem of Sentiment Analysis -- Document Sentiment Classification -- Sentence Subjectivity and Sentiment Classification -- Aspect-Based Sentiment Analysis -- Sentiment Lexicon Generation -- Opinion Summarization -- Analysis of Comparative Opinions -- Opinion Search and Retrieval -- Opinion Spam Detection -- Quality of Reviews -- Concluding Remarks -- Bibliography -- Author Biography.
520			_aSentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography.
988			_aSynthesis Collection of Technology_2012
650		7	_2embne _9666075 _aLingüística computacional
650		7	_2embne _9162648 _aData mining
650		7	_2embne _9405094 _aOpinión pública _xProceso de datos
776	0	8	_iPrinted edition: _z9783031010170
776	0	8	_iPrinted edition: _z9783031032738
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02145-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _esc _zSI