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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Opinion mining using Association Rule mining techniques together with Removing Stop words, Emojis and Negation Handling |
| Authors Name: | Sunayana Parikh |
| Unique Id: | IJSDR1902027 |
| Published In: | Volume 4 Issue 2, February-2019 |
| Abstract: | -- Customer Opinions play a very critical role in daily life. Sentiment Analysis is having applications in diverse contexts like in the gathering and analysis of opinions from individuals about various products, issues, social, and political events. Understanding public opinion can help improve decision making. In our decision making we used to consider opinions of other individuals. In today’s era many people uses web to post their opinions through blogs, review sites and social networking sites regarding many products. Every Organizations usually eager to find what their customer or individual’s opinion or view regarding their products, their services and support. With the growth of e-commerce, it is very crucial to analyse good amount of social data present on the web while shopping online. Therefore, it’s very important to create methods which classify them robotically. While shopping online Opinion mining is sometimes called as Sentiment Classification because it is defined as mining and analysing of reviews, views emotions and opinions automatically from text, data and speech by means of various methods In this paper we remove stop words and emojis from the reviews and use negation handling method with POS tagging to decrease the negation words, then reviews which are posted online by the customers can be mined using association rule mining algorithms. We also consider rating values given by customers. Our main aim is to create an efficient system for analysing opinions which implies judgments of different consumer products. |
| Keywords: | Opinion Mining, Sentiment Classification, Association rule mining Algorithm, Stop words, Emoji Removal, Negation Handling, SenitiWordNet, Frequent Words, Online Reviews, Ratings. |
| Cite Article: | "Opinion mining using Association Rule mining techniques together with Removing Stop words, Emojis and Negation Handling", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 2, page no.158 - 161, February-2019, Available :http://www.ijsdr.org/papers/IJSDR1902027.pdf |
| Downloads: | 000314594 |
| Publication Details: | Published Paper ID: IJSDR1902027 Registration ID:190085 Published In: Volume 4 Issue 2, February-2019 DOI (Digital Object Identifier): Page No: 158 - 161 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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