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A Practical Guide to Sentiment Analysis

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  • © 2017

Overview

  • Bridges the gap between the manifestations of practical Sentiment analysis and its fundamental and theoretical aspects by inviting qualitative and quantitative studies from computational linguistics
  • Welcomes foundations and theories along with analytical, methodological, and empirical contributions
  • Real life applications of Social Affective Computing are also considered as a crucial theme

Part of the book series: Socio-Affective Computing (SAC, volume 5)

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Table of contents (9 chapters)

Keywords

About this book

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.

Editors and Affiliations

  • School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Erik Cambria

  • Computer Science and Engineering Department, Jadavpur University, Kolkata, India

    Dipankar Das, Sivaji Bandyopadhyay

  • Fraunhofer IDM@NTU, Nanyang Technological University, Singapore, Singapore

    Antonio Feraco

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