Title :
Summarization and sentiment analysis from user health posts
Author :
Mane, Vinod L. ; Panicker, Suja S. ; Patil, Vidya B.
Author_Institution :
Dept. of Comput. Eng., MIT, Pune, India
Abstract :
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. Further, we propose to classify the users based on their `emotional state of mind´. Also, we shall perform knowledge discovery from user posts, whereby useful `patterns´ about the triad `drugs-symptoms-medicine´ is done by Association Rule Mining.
Keywords :
Web sites; abstracting; data mining; drugs; medical computing; pattern classification; Web sites; association rule mining; drug side-effects; drugs-symptoms-medicine; emotional state of mind; knowledge discovery; medical information; online health communities; real time health posts; sentiment analysis; summarization; user classification; user health posts; Association rules; Communities; Companies; Diseases; Drugs; Sentiment analysis; Association rule mining; Classification; Keyword extraction; Knowledge discovery; Summarization;
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/PERVASIVE.2015.7087087
