Sentiment analysis of twitter data on Digital India through LIWC software

Abstract

Humans express their feelings on a regular basis. these feelings are called emotions. do computers understand emotions? is it important to understand emotions? scientists are using different techniques including machine learning to train machines on how to understand human emotions. this is called sentiment analysis. With the rise in internet usage, we have witnessed a surge in the number of users using social media and other microblogging websites. Customer nowadays relies more on reviews given by other people. Various posts and tweets on products and services can tell us about the sentiment of the users. Textual messages can be decrypted, leading to various insights and deducing whether it depicts a positive, negative, or neutral emotion. Business sentiment analysis, commonly referred to as opinion mining, is the act of recognising and indexing texts based on the tone they convey. This material may take the form of tweets, remarks, criticisms, or even irrational outbursts with good, negative, or neutral thoughts attached. Automated sentiment analysis is a necessary implementation for any company. If you have any doubts, consider this brief overview. Accuracy is never going to be 100%. Naturally, a machine cannot comprehend sarcasm. However, a study found that individuals disagree 85 percent of the time. It implies that machine accuracy will nevertheless be more reliable than human analysis even if it does not receive a perfect score of 10. Additionally, manually examining a large dataset is not a possibility. Sentiment research in business is therefore more than simply a fashion. In business, sentiment analysis is used to assess how consumers, both current and future, feel about all of these elements. You may create more attractive branding approaches and marketing strategies while keeping the unfavorable perceptions in mind to transform your brand from tepid to fantastic. 4 | P a g e We have used LIWC software to study the sentiments of the tweets related to Digital India initiatives and how it can impact the business around us based on the emotions of the tweet. We have performed sentiment analysis on 7 datasets each containing multiple csv files related to various Digital India initiatives like aadhar, eseva, evisa, bharatnet etc.