3 Sentiment Analysis Approach to Text Summarization
3.1 Introduction
Sentiment analysis has been widely used for making key decisions in business. Sentiments for summarization have gained importance since they capture opinions about the entities which are of great interest. Sentiment summarization can be viewed as a subfield of text summarization. The goal of a sentiment summarization system is to generate a summary S, representative of the average opinion about the important aspects relevant to an entity. This can be managed to solve using either a machine learning approach or a natural language processing approach, since it learns sentiments from text using natural language features. This performs fine-grained ...
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