Using Sentiment Analysis for Website Evaluation

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Published: Aug 8, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i0.6189
Keywords:
Natural Language Processing, Data Mining, Sentiment Analysis

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Adarsh M. Revadi
Apoorva D.A.,Ashish N. Mehta ,Sowmya Sundari L.K.

Abstract

In thepresent era of technological advancements, evaluating the authenticity of a website is the need of the hour. Thispaper discusses our solution to design an efficient Website Evaluation system that rates websites on the basis of user comments. We use HTML, CSS, ASP.net as front end, SQL Management Studio as backend and use Natural Language Processing to implement the solution. Parameters for evaluation include authenticity of the website, efficiency in delivering the services as advertised and providinggood customer support. A database of keywords constantly updated by the admin will be used to evaluate the website and users will be able to see the rating of every website added by the admin.

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2018: Volume 9 Special Issue No. 3, May 2018
Section
Articles

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References

Pravesh Kumar Singh and Mohd Shahid Husain, “MethodologicalStudyofOpinionMiningand SentimentAnalysis Techniquesâ€, IJSC 2014 [Online]. Available: http://airccse.org/journal/ijsc/papers/5114ijsc02.pdf [2] Rushabh Shah and Bhoomit Patel, “Procedure of Opinion Mining and Sentiment Analysis: A Studyâ€, IJCET, 2014 [Online]. Available: http://inpressco.com/wpcontent/uploads/2014/12/Paper594086-4090.pdf [3] Nidhi R. Sharma, Prof. Vidya D. Chitre, “Mining, Identifying and Summarizing Features from Web Opinion Sources in Customer Reviewsâ€, IJIACS, 2014 [Online]. Available: http://academicscience.co.in/admin/resources/proje ct/ paper/f201409241411562985.pdf [4] Ravendra Ratan Singh Jandail, “A proposed Novel Approach for Sentiment Analysis and Opinion Miningâ€,IJU 2014 [Online]. Available:http://airccse.org/journal/iju/papers/5214 iju01.pdf

Adarsh M Revadi et al, International Journal of Advanced Research in Computer Science, 9 (Special Issue III), May 2018, 33-36

Conference Paper: Third National Conference on “Advances in Computing and Information Technology†Organized by: School of Computing and Information Technology, REVA University, Bengaluru, India 36

Hesham Ahmed Hassan, Opinion Mining and Sentimental Analysis Approaches: A Survey, Cairo, 2014 [6] “Internet fraudâ€, Wikipedia.org, 2018. [Online]. Available: https://en.m.wikipedia.org/wiki/Internet_fraud [7] “What is Cyberbullyingâ€, stopbullying.gov, 2018 [Online]. Available: https://www.stopbullying.gov/cyberbullying/whatis- it/index.html [8] “Definition of Hackingâ€, economictimes.indiatimes.com, 2018 [Online]. Available: https://economictimes.indiatimes.com/definition/ha ck ing [9] “Types of Spamâ€, securelist.com, 2018 [Online]. Available: https://securelist.com/threats/types-of-spam/ [10] “How to deal with fake websitesâ€, blog.trendmicro.com, 2018 [Online]. Available: https://blog.trendmicro.com/how-todeal- with-fake-websites/