Sentiment Analysis of Twitter Tweets

Abstract

Social networking is becoming more and more popular these days. Public and private opinion is constantly expressed and spread on a wide range of topics through various social media platforms. Among the social media platforms that are becoming more and more popular is Twitter. Twitter provides businesses with an efficient and quick method to examine consumer viewpoints about the essential elements of market success. One method to measure consumers' perceptions computationally is to create a sentiment analysis program. This research presents a sentiment analysis design that extracts a large number of tweets. In this development, prototyping is employed. The findings, which are displayed in an HTML website and pie chart, divide the opinions of customers who tweeted into two categories: favorable and negative. Though Django is designed to run on a Linux server or LAMP, there are limitations that prevent the program from developing on a web application system. Therefore, in order to move further, this strategy must be used.