A Review Paper on Machine Learning Techniques and (Product) Reviews from Social Network Services |
Author(s): |
| Shreya M Dholaria , Noble Group of Institution, Bhesan Road, Via Vadal, Nr Bamangam, Junagadh, Gujarat, India,; Shreya M Dholaria, Noble Group of Institution, Bhesan Road, Via Vadal, Nr Bamangam, Junagadh, Gujarat, India,; Sangani Vivekkumar D, DR.Subhash technical campus, Khamdhrol Road, Nr Khodiyar temple, Junagadh, Gujarat, India,; Madhuri Thakar, Noble Group of Institution, Bhesan Road, Via Vadal, Nr Bamangam, Junagadh, Gujarat, India,; Daxa V Vekariya, Noble Group of Institution, Bhesan Road, Via Vadal, Nr Bamangam, Junagadh, Gujarat, India, |
Keywords: |
| Machine Learning, Opinion Mining, Sentiment Analysis, Natural Language Processing, Feature Based Opinion, Classification, Product Review, Support Vector Machine, Native Based Classifier, Maximum Entropy Classifier |
Abstract |
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Sentiment analysis is developing area of research to extract the subjective information by applying Natural Language processing and Machine learning techniques. The ï¬eld of opinion mining also called as sentiment analysis. Social media helps in connecting themselves with social networking sites. E-Commerce business is developed rapidly and larger number of products is sold online. Products are now available on the Internet. The challenges area defines extract reviews from large number of reviews, because it is impossible to read all the reviews. Reviews can be given based on features of products. This paper presents the Machine learning techniques which including decision tree, Support vector Machine, naïve Bayes classifier, Maximum Entropy classifier and Evaluation formulas of opinion, Extract Product Rating reviews. |
Other Details |
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Paper ID: IJSRDV4I80035 Published in: Volume : 4, Issue : 8 Publication Date: 01/11/2016 Page(s): 22-26 |
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