期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2018
卷号：18
期号：10
页码：36-42
出版社：International Journal of Computer Science and Network Security
摘要：Behavior prediction from sentiment analysis is a field of Natural Language Processing which addresses the problem of extracting sentiment or, more generally, opinion from text. In this research paper specifically predict the behavior of the Pakistan’s peoples from tweeter datasets and sentiment polarity classification problem in Twitter aiming to classify messages based on the polarity of the sentiment towards behavior, where the tweets of behavior are extracted from twitter API. In the Methodology, implementation of machine learning models and experimental test to prove this research study. Machine learning models that are using in methodology are Random Forest Model (RFM), Decision Tree (DT) and Na?ve Bays (NB) classifier. It is also observed and compare the results as well as to improve the results by using the python that can never use before it for this research work.
