Sentiment Analysis and Data Mining in Twitter

Now a days Twitter has become a platform where people share their views regarding politics, sports, movies, product review etc so here I am trying to develop a new approach that can enhance the sentiment analysis result. There are thousands of research paper has already published on sentiment analysis but there is still need of improvement in sentiment analysis result and this research paper is based on the extraction of a word(opinion) because it is a crucial stage for sentiment analysis. People generally use short handwriting (e.g gud for good, awsm for awesome) and misspell so identify their actual sentiments will enhance the sentiment result. So this research paper based on using mining technique (extraction of hidden meaning of sentiments) in twitter platform which will help in improve sentiment analysis result. In this research, we work on English language.