Papers by vivek dung dung.
Sentiment analysis is a current research area in text mining. It is the stem of natural language ... more Sentiment analysis is a current research area in text mining. It is the stem of natural language processing or machine learning methods. It is the important sources of decision making and can be extracted, identified, evaluated from the online sentiments reviews. The main goal is to connect on Twitter and search for the tweets that contain a particular keyword and then evaluate the polarity of the tweets as positive and negative. In this paper, the keywords are collected from Twitter using Twitter API and the extracted raw data are preprocessed using Natural Language Toolkit techniques. The sentiments of the online tweets are evaluated based on feature selection of score words. In order to select the best features Chi Square test is used and Naïve Bayes classifier is used for training and testing the features and also evaluating the sentimental polarity. The proposed system is implemented using Python.
Uploads
Papers by vivek dung dung.