A Practical Guide to Sentiment Analysis

Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco (Herausgeber)

Buch | Softcover

VII, 196 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-85648-3 (ISBN)

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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.

Preface.- Affective Computing and Sentiment Analysis.- Many Facets of Sentiment Analysis .- Reflections on Sentiment/Opinion Analysis .- Challenges in Sentiment Analysis.- Sentiment Resources: Lexicons and Datasets.- Generative Models for Sentiment Analysis and Opinion Mining.- Social Media Summarization.- Deception Detection and Opinion Spam .- Concept-Level Sentiment Analysis with SenticNet.- Index.

Erscheint lt. Verlag	25.7.2018
Reihe/Serie	Socio-Affective Computing
Zusatzinfo	VII, 196 p. 16 illus., 7 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	3539 g
Themenwelt	Medizin / Pharmazie ► Studium
Schlagworte	deception detection • Knowledge Representation and Reasoning • Natural Language Processing • Opinion Mining • sentiment analysis • Text Summarization
ISBN-10	3-319-85648-0 / 3319856480
ISBN-13	978-3-319-85648-3 / 9783319856483
Zustand	Neuware