Renewable Energy Sources for Clean Environment: Opinion Mining

Abstract

Use of conventional energy sources causes enormous amount of pollution leading to the problem of global warming. Most of the countries in Asia are facing the problem of pollution leading to lots of health problems. To curb these problems, renewable energy sources play a very important role. Sentiment analysis is used to analyze opinions of the user for decision making with the help of natural language processing techniques. Opinions are the sentiment or emotions about a subject that is expressed by a user. To study about the emotions of people about alternate energy sources we have carried out comparative sentiment analysis on various renewable energy sources using Twitter data. In our paper we have considered five sources namely: Solar energy, Bioenergy, Wind power, Hydro power and Geothermal energy. Data has been collected from Twitter which is approximately 20,000 tweets for each energy source amounting approximately to 100,000 data which have been considered for analysis. Eight sentiments are calculated for each renewable energy source. It has been found that the people’s opinion about renewable energy sources—mainly solar and wind energy—fetches most tweets and people are more positive towards renewable energy sources for better environment.