Twitter Sentiment Analysis

Abstract

Social media continues to gain increased presence and importance in society. Public and private opinion about a wide variety of subjects are expressed and spread continually via numerous social media. Twitter is one of the social media that is gaining increased popular. Twitter offers organizations a fast and effective way to analyze customers‟ perspectives toward the critical to success in the marketplace. Developing a program for sentiment analysis is an approach to be used to computationally measure customers‟ perceptions. This paper reports on the design of a sentiment analysis extracting a vast amount of tweets. Prototyping is used in this development. Results classify customers‟ perspective via tweets into positive and negative which is represented in pie chart and html page. However, the program has planned to develop on web application system but due to limitation of Django which can be worked on Linux server or LAMP, for further this approach need to be done