Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques

Abstract

Social Media have gained more attention nowadays. Public and confidential opinions about a huge variety of matters are expressed via countless social media. Twitter is one of the most popular social media that is growing exponentially. Twitter gives organizations a fast and efficient way to analyze customers� opinions toward critical success in the market. Constructing a program for sentiment analysis is an approach to be used to computationally estimate customers� opinions. This paper describes the design of sentiment analysis, extracting a large size of tweets. Prototyping has been used in this design. Results classify customers� opinions with the help of tweets into positive and negative, represented in the form of a pie chart and html page. However, the program has planned to construct on a web application system, but due to the restraint of Django which can be worked on a Linux server or LAMP, for further, this approach need to be done.

JEL Classification: O3