Paper Title
Sentiment Analysis of People’s Emotions towards News Trends

Nowadays people share their experiences, opinions, ideas through social media openly. Any news article, post, blog sometimes contributes to negative while sometimes to positive impact regarding a scenario on society. The proposed work will classify people’s real emotions, attitude towards recent news happening around while evaluating, comprehending opinions, which can be effective classification and summarization of people’s perspective. The objectives are achieved by retrieval of vast real time Twitter data and perform sentiment analysis using lexicon-based approach. Keywords - Sentiment Analysis, Social Media, Lexicon-based Approach, Opinion Mining.