Assistant Professor, CSE Department, Nehru Institute of Technology
Abstract
Sentimental analysis also known as opinion mining refers to the use of natural language processing, text analysis and computational linguistics to identify and extract Linguistics to identify and extract Subjective information in source materials. Sentiment Analysis (SA) is ongoing field of research in text mining field However, there are still some challenges to overcome before sentiment analysis have become a perfect tool. In this paper, a noval sentimental analysis approach is proposed to determine whether the attitude behind the text is happy, slightly tensed, tensed, very tensed or normal. By considering the parameters such ascount of backspaces, count of delete button and typing speed everyone would be able to judge an individual’s temperament at that point of time and can give suggestions to change the mood if the user is in negative attitude.Based on the analytics of the user history of typing and live typing parameters,effective visualization of user behavior is obtained.
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