Sentiment Prediction of Tweet Data

Abstract

As descriptive as the title is, “Sentiment Prediction of Tweet Data” is a project that harnesses the power of modern information and technologies, various tools like R to analyzed people’s sentiment on a certain matter through their tweets. If developed properly in the future this project can help organizations as well as individuals to analyze and understand what people are thinking or feeling about an affair. In order to analyze data effectively one needs to have a solid understanding of data science and some other technical skills. That means someone who has never wrote computer programs or does not have a good mathematical knowledge will not be able to perform such analysis. Our goal was to make a software that makes this entire process of analyzing data and making a report more accessible to anyone. Although there are many tools and platforms available for data analysis, I went for R programming language. Because it is not only specialized for this task but also has a huge amount of resources online. So extending the software becomes easier in the future. I have finished working on my project. All it does is it loads up tweets from the internet base on a certain topic and analyses with Naive-Bayes algorithm. Later on displays reports based on several parameters in a human readable chart format.