SENTIMENT ANALYSIS AND INTERPLAY STUDY USING NEWS HEADLINES AND TWEETS

Abstract

Every individuals and/or organizations need to know about people‟s feelings about their product and services provided by them during making any decision. If organizations or individuals have the information about sentiment of people toward the entities of their interest and how sentiment of one entity varies when sentiment of other related entities varies over a period of time, then decision making process can be very easy, efficient and effective. In this report, after giving a brief introduction of sentiment analysis and related literature survey we discuss about our proposed work, “Sentiment interplay study of entities across various domains using news headlines and tweets”. In literature survey section, we discuss about the evolution of the sentiment analysis research area and related work to our proposed work. In our proposed work, we present a model which after collecting entities in current news headlines and tweets related to these entities, performs sentiment analysis and interplay study for these entities. Interplay study means how consistently change in sentiments of one entity triggers a time delayed change in sentiment of other related entities over a period of time. By using this model we can predict the behavior of the related entities by looking at past patterns and can make right decision very effectively