Proceeding of

1st Int. Conf. on Recent Trends & Research in Engineering and Science

(ICRTRES-2015)

21-23 March, 2015

 

Organized By

Padm. Dr. V. B. Kolte College of Engineering & Polytechnic, Malkapur

 

as

A Special Issue of

International Journal of Computer Science and Applications

(ISSN:0974-1011)

 

Advisory Committee

Dr. G. R. Bamnote

(Dean, Faculty of Engg, SGBAU Amravati)

 

Dr. B. E. Narkhede

(Vice President IIIE, Mumbai)

 

Dr. Md. Mamun Habib

(University Utara Malaysia (UUM, Malaysia)

 

Dr. C. R. Patil

(Prof. PRMIT&R Badnera, Amravati)

 

Dr. T. R. Deshmukh

(Prof. PRMIT&R Badnera, Amravati)

 

Dr. W. Z. Gandhare

(Principal, Govt. College of Engineering Amravati)

 

Dr. D. N. Kyatanavar

(Principal, SRESCOE Kopargaon)

 

Dr. U. Pendharkar

(Professor, Government Engineering College, Ujjain)

 

Dr. Ajit Thete

(Director, Centre for Development of Leadership in    Education Pvt Ltd, Aurangabad)

 

Technical Committee

Dr. M. T. Datar

Dr. S. K. Garg

Dr. Shrikaant Kulkarni

Shri. D. N. Patil

Dr. A. W. Kolte

Prof. Ajitabh Pateriya

Prof. P. K. Patil

Prof. S.N. Khachane

Prof. Parag Chourey

Prof. B.K.Chaudhari

Prof. N.A. Kharche

Prof. R.M. Choudhari

Prof. R. B. Pandhare

Prof. A.P. Jadhao

Prof. S.B. Jadhav

Prof. Santosh Raikar

Prof. Y.P. Sushir

Prof. B. M. Tayde

 

Editor

Prof. K. H. Walse

 

Research Publications, India

 

 

   
 
 
 
IJCSA ISSN: 0974-1011 (Online) >>    
Title:

Review on Sentiment Analysis of Twitter Data

Author:

Ms. Swapna R. Kharche and Prof. Lokesh Bijole

 

Abstract

Millions of users share their opinions on different aspects of life everyday. Sentiment Analysis is a process of identifying opinions in large unstructured/structured data and analyzing polarity of those opinions. Microblogging website such as twitter is rich source for sentiment analysis. Sentiment analysis over Twitter offers organizations a fast and effective way to monitor the publics' feelings towards their brand, business, directors, etc. In this paper we focused on different approaches used for sentiment analysis of twitter data.



©2015 International Journal of Computer Science and Applications 

Published by Research Publications, India