Introduction of Opinion Mining and Sentiment Analysis Research
Varma Kajal S
, Raval Jyoti A, Mr.Romil Patel
Department of Information Technology, Sigma Institute of Engineering, Vadodara, Gujarat, India, India
Department of Information Technology, Sigma Institute of Engineering, Vadodara, Gujarat, India, India
Vol. 3, Issue 4 pp. 223-230 🌐 Open Access
ABSTRACT
In our project important parts are opinion mining, spam detection, company rating and data cleaning. In data cleaning we had clean the data which are unwanted and also count the how many data are removed. Spam detection is based on the data cleaning process. Spam detection is identify in data which are spam or non-spam data based on same user, same ip address, same product id and same time. Opinion mining is based on the Non-spam data. In opinion mining process we can find the positive reviews, negative reviews and neutral reviews. For opinion mining we are used naive Bayesian algorithm. All data are stored in dataset. Company rating is also based on data cleaning process. In company rating we can find the highest rated company.
Keywords:
Opinion mining and sentiment analysis, web mining, system flow, naïve Bayesian algorithm, Applications, Techniques
