|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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: April 2024
Volume 9 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 95
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Fake Product Review Monitoring System |
| Authors Name: | D. Karunkuzhali , Akash Deep V , Arun Kumar R , Gokulan N |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_181126
|
| Published Paper Id: | IJNRDA001024 |
| Published In: | Volume 7 Issue 5, May-2022 |
| DOI: | |
| Abstract: | In the present situation, the information on the network is developing dramatically. Social mass media is creating a lot of information like surveys, remarks, and client's viewpoints consistently. This tremendous measure of client produced information is useless except if roughly mining activities are pragmatic to it. As there are a amount of fake surveys so opinion mining method should consolidate Junk identification to deliver genuine opinion. These days, there are various individuals utilizing virtual entertainment in their day today life. Assessment Spam discovery is an exhausting and difficult issue as there are quite a large number artificial or fake review that have been made by associations or by through individuals for different purposes. They compose fake review to give the wrong impression about pursuer or mechanized discovery framework by advancing or downgrading objective product to advance them or else to corrupt their reputation. The proposed way incorporates Ontology, Geo area and IP address following, utilizing Naive Bayes. Brand just checks location and following record utilized. |
| Keywords: | Fake review, Opinion mining, Review detection, Text mining. |
| Cite Article: | "Fake Product Review Monitoring System", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.125-129, May-2022, Available :http://www.ijnrd.org/papers/IJNRDA001024.pdf |
| Downloads: | 000118753 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRDA001024 Registration ID: 181126 Published In: Volume 7 Issue 5, May-2022 DOI (Digital Object Identifier): Page No: 125-129 Country: Thiruvallur, Tamilnadu, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRDA001024 Published Paper PDF: https://www.ijnrd.org/papers/IJNRDA001024 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn