A Practical Guide to Sentiment AnalysisErik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco 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. |
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Contents
| 1 | |
2 Many Facets of Sentiment Analysis | 11 |
3 Reflections on SentimentOpinion Analysis | 40 |
4 Challenges in Sentiment Analysis | 61 |
Lexicons and Datasets | 84 |
6 Generative Models for Sentiment Analysis and Opinion Mining | 107 |
Other editions - View all
A Practical Guide to Sentiment Analysis Erik Cambria,Dipankar Das,Sivaji Bandyopadhyay,Antonio Feraco No preview available - 2018 |
Common terms and phrases
affective computing algorithm applications aspect ratings Association for Computational authors automatically basic emotions Blei Cambria camera collaborative filtering Computational Linguistics concepts Conference on Empirical corpus crowdsourcing Data Mining dataset deceptive opinions detection Dirichlet Dirichlet distribution document EMNLP emotion lexicon entity example extraction goal hashtags Human Language Technologies identify International Conference Kiritchenko knowledge language model latent Dirichlet allocation latent topic lexical LIWC machine learning Methods in Natural models for sentiment Mohammad mood multi-document summarization n-grams natural language processing negative sentiment opinion holder opinion mining opinion spam opinionated text phrases picture quality pLSI pLSI model Poria positive and negative probabilistic Proceedings psychological representation SemEval sentence SenticNet sentiment analysis sentiment classification sentiment labels sentiment lexicons sentiment polarity sentiment resources SentiWordNet social media Springer summarization synsets target task techniques textual topic models tweets Twitter valence variables Wang WordNet words Zhai
Bibliographic information
| Title | A Practical Guide to Sentiment Analysis Volume 5 of Socio-Affective Computing |
| Editors | Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco |
| Publisher | Springer, 2017 |
| ISBN | 3319553941, 9783319553948 |
| Length | 196 pages |
| Subjects | › › Computers / Mathematical & Statistical Software Computers / System Administration / Storage & Retrieval Computers / User Interfaces Language Arts & Disciplines / Linguistics / General Language Arts & Disciplines / Reference Mathematics / Applied Medical / General Medical / Research Technology & Engineering / Engineering (General) |
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