Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
IJSDR
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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: January 2023

Volume 8 | Issue 1

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
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: 000201507
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

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner