Sentiment Analysis of Tweets at Sentence Level Using Hadoop

Abstract

In the last couple of decades Sentiment Analysis has attracted considerable amount of interest from the research community across the globe. Sentiment Analysis brings to light the underlying point of view(s) in a text; for example classifying a review as positive, negative or neutral. The main aim is to extract a set of potential confident features from the review and then classify them into emotions which they strongly depict. In this paper we dig deeper into analysing the sentiments and classify them into Ekman's six basic emotions i.e. Anger, Fear, Disgust, Sadness, Happiness and Surprise using Hadoop with the assistance of Apache Flume, Apache Hive.