Summarization and Sentiment Analysis from User Health Posts

Authors(2) :-Sharath M P, Prof. H.P.Ramyashree

Online health communities continue to offer huge variety of medical information useful for medical practitioners, system administrators and patients alike. In this work we collect real time health posts from reputed websites, where patients express their views, including their experiences and side-effects on drugs used by them. We propose to perform Summarization of user posts per drug, and come out with useful conclusions for medical fraternity as well as patient community at a glance.With the enormous increase in web, electronic information is also increasing in huge amount which, although good with respect to Information Age, creates overhead of time and space. Also understandability of information and consequent knowledge continue to be big challenges.

Authors and Affiliations

Sharath M P
Department of Master of Computer Application, PES Engineering of College, Mandya, India
Prof. H.P.Ramyashree
Department of Master of Computer Application, PES Engineering of College, Mandya, India

Data mining, ,Apriori Algorithm, patterns, drugs-symptoms-medicine’ is done by Association Rule Mining

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 896-898
Manuscript Number : CSEIT1723325
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sharath M P, Prof. H.P.Ramyashree, "Summarization and Sentiment Analysis from User Health Posts ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.896-898, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT1723325

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