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 ...