A Novel Approach to Web-based Review Analysis using Opinion Mining

Author(s)	Miss. Rashmi Murlidhar Papalkar, Dr. Amit K. Gaikwad
Country	India
Abstract	The propose an advanced Website Evaluation system that rates the website based on the opinion of the user. Website will be evaluated based on factors such genuineness of the website, timely delivery of the product after online transaction and support provided by the website. User will comment about the website, based on the comment system will rate the website. The system takes opinion of various users, based on the opinion; system will decide whether the website is genuine or not. The system uses opinion mining methodology in order to achieve desired functionality. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user comment is ranked. The system contains keywords related to fraud, genuineness, timely delivery of the product and service meters in the database. Based on these factors system will rate the website.
Keywords	Cloud computing, sentiment analysis, mining, web
Field	Engineering
Published In	Volume 5, Issue 3, May-June 2023
Published On	2023-05-23
Cite This	A Novel Approach to Web-based Review Analysis using Opinion Mining - Miss. Rashmi Murlidhar Papalkar, Dr. Amit K. Gaikwad - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.4168
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.4168
Short DOI	https://doi.org/gsd48v

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International Journal For Multidisciplinary Research