SENTIMENT ANALYSIS IN SOCIAL NETWORKS USING NAiVE BAYES ALGORITHM

This report is concerned with the opinion mining and sentiment analysis in social networks
especially Twitter, it aims to give a brief insight into the ongoing research in sentiment analysis
algorithms and techniques, and graphical representation of the statistical results by applying
the sentiment analysis on social networks. The objectives of this project is to perform a detailed
research on the latest techniques in the process, and to enhance the current approaches of
sentiment analysis by building a tool with an ability to provide statistical information,
graphically represented -to an acceptable degree of accuracy- to show the collective
consciousness of Internet users. The implementation of this project will most probably use
third party tools available on the web to reduce time needed and for rapid prototyping in the
initial stages of implementation.