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Practical Guide to Sentiment Analysis 1st ed. 2017 [Kietas viršelis]

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  • Formatas: Hardback, 196 pages, aukštis x plotis: 235x155 mm, weight: 4691 g, 7 Illustrations, color; 9 Illustrations, black and white; VII, 196 p. 16 illus., 7 illus. in color., 1 Hardback
  • Serija: Socio-Affective Computing 5
  • Išleidimo metai: 21-Apr-2017
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319553925
  • ISBN-13: 9783319553924
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 196 pages, aukštis x plotis: 235x155 mm, weight: 4691 g, 7 Illustrations, color; 9 Illustrations, black and white; VII, 196 p. 16 illus., 7 illus. in color., 1 Hardback
  • Serija: Socio-Affective Computing 5
  • Išleidimo metai: 21-Apr-2017
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319553925
  • ISBN-13: 9783319553924
Kitos knygos pagal šią temą:
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.
1 Affective Computing and Sentiment Analysis
1(10)
Erik Cambria
Dipankar Das
Sivaji Bandyopadhyay
Antonio Feraco
2 Many Facets of Sentiment Analysis
11(30)
Bing Liu
3 Reflections on Sentiment/Opinion Analysis
41(20)
Jiwei Li
Eduard Hovy
4 Challenges in Sentiment Analysis
61(24)
Saif M. Mohammad
5 Sentiment Resources: Lexicons and Datasets
85(22)
Aditya Joshi
Pushpak Bhattacharyya
Sagar Ahire
6 Generative Models for Sentiment Analysis and Opinion Mining
107(28)
Hongning Wang
ChengXiang Zhai
7 Social Media Summarization
135(20)
Vasudeva Varma
Litton J. Kurisinkel
Priya Radhakrishnan
8 Deception Detection and Opinion Spam
155(18)
Paolo Rosso
Leticia C. Cagnina
9 Concept-Level Sentiment Analysis with SenticNet
173(16)
Federica Bisio
Claudia Meda
Paolo Gastaldo
Rodolfo Zunino
Erik Cambria
Index 189