Open AccessOpinion Mining Classification u sing Naive Bayes Algorithm
Author(s) -
Raghavendra Vijay Bhasker Vangara*,
Kailashnathan Thirupathur,
Shiva Prasad Vangara
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2402.039520
Subject(s) - naive bayes classifier , computer science , machine learning , artificial intelligence , sentiment analysis , product (mathematics) , bayes' theorem , classifier (uml) , data mining , field (mathematics) , data science , mathematics , support vector machine , bayesian probability , geometry , pure mathematics
With the recent advancement in the field of online services, the importance of a review for a product has also gone up. In this paper we focus on the aspect of reducing the time and effort for the user by recommending the best product to him. For this to be achieved, this paper proposes a Naive Bayes Classifier which labels the reviews accurately and combines the reviews to give a final rating to the product. The amazon product review data consisting of both negative and positive reviews was used for training and testing purposes. The model’s performance is evaluated, and results are analysed.