Twitter Sentiment Analysis: Comparison of Techniques

Abstract

Analysis of twitter sentiment is a technology that offers the tools for surveying items or incidents relevant to popular emotion. Such functions are conveyed by terms of sentiment, emojis, etc. Twitter messages are brief, and often ideal for our comprehension. These classifications promptly choose whether the polarity of feeling in a tweet is negative or positive. In this paper we will compute and compare about the precision and F-score of SVM and Naïve Bayes classifiers.