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Multilingual Natural Language Processing Applications: From Theory to Practice
book

Multilingual Natural Language Processing Applications: From Theory to Practice

by Daniel Bikel, Imed Zitouni
May 2012
Beginner to intermediate
640 pages
21h 52m
English
IBM Press
Content preview from Multilingual Natural Language Processing Applications: From Theory to Practice

Chapter 7. Multilingual Sentiment and Subjectivity Analysis

Carmen Banea, Rada Mihalcea, and Janyce Wiebe

7.1. Introduction

Subjectivity and sentiment analysis focuses on the automatic identification of private states, such as opinions, emotions, sentiments, evaluations, beliefs, and speculations in natural language. While subjectivity classification labels text as either subjective or objective, sentiment classification adds an additional level of granularity by further classifying subjective text as either positive, negative, or neutral.

To date, a large number of text-processing applications have already used techniques for automatic sentiment and subjectivity analysis, including automatic expressive text-tospeech synthesis [1], tracking sentiment ...

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