A Practical Guide to Sentiment Analysis

✍ Scribed by Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco (eds.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 199
• Series: Socio-Affective Computing 5
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-vii
Affective Computing and Sentiment Analysis....Pages 1-10
Many Facets of Sentiment Analysis....Pages 11-39
Reflections on Sentiment/Opinion Analysis....Pages 41-59
Challenges in Sentiment Analysis....Pages 61-83
Sentiment Resources: Lexicons and Datasets....Pages 85-106
Generative Models for Sentiment Analysis and Opinion Mining....Pages 107-134
Social Media Summarization....Pages 135-153
Deception Detection and Opinion Spam....Pages 155-171
Concept-Level Sentiment Analysis with SenticNet....Pages 173-188
Back Matter....Pages 189-196

✦ Subjects

Biomedicine general;Information Storage and Retrieval;Applied Linguistics;Appl.Mathematics/Computational Methods of Engineering;User Interfaces and Human Computer Interaction;Statistics and Computing/Statistics Programs