Automatic Sentiment Analysis for Unstructured Data

Ms. Sunayana R. GawdeM. Tech Part I

14109

www.Redicals.com

Jalaj S. Modha

Gayatri S. Pandi

Sandip J. Modha

Authors

International Journal of Advanced Research in Computer Science and Software Engineering

Volume 3, Issue 12, December 2013 with ISSN: 2277 128X

Published in..

Big data

Sentimental Analysis is to get the real voice of people towards specific product, services, organization, movies, news, events, issues and their attributes.

Sentiment analysis is done on three levels

Document Level

Sentence Level

Entity or Aspect Level

Introduction

Sentiment Analysis for Subjective Sentences

Positive sentiment in subjective sentences

“I like my new Dell Laptop”

Negative sentiment in subjective sentences

“Krish 3 is a flop movie”

Neutral sentiment in subjective sentences

“I’m going for a long drive”

Sentiment Analysis for Objective Sentences

Related Work

Machine Learning Techniques

Supervised Machine Learning Techniques

Unsupervised Machine Learning Techniques

Natural Language Processing

Beg of words, Hidden markov model, part of speech (POS), N-gram algorithms and parsing techniques

Text Mining Techniques

EXISTING TECHNIQUES AND APPROACHES

Traditional approach:

Consider only subjective sentences and ignore objective sentences.

Proposed approach:

PROPOSED APPROACH

Overview

Indian political news articles.

Prepare the SentiWord dictionary which contains terms and threshold values for opinionated words

Results will be evaluated using Precision, Recall and F-Score.

Experimental Work

Creation of Global SentiWord Dictionary with maximum Coverage

Future Work

[1] Bing Liu, Sentiment Analysis and Opinion Mining, Morgan and Claypool Publishers, May 2012.p.18-19,27-28,4445,47,90-101.

[2] Ronen Feldman, James Sanger, The Text Mining Handbook-Advance Approaches in Analysing Unstructured Data, Cambridge University Press,2007.

[3] Ronen Feldman, “Techniques and Application of Sentiment Analysis”, Communication of ACM, April 2013, vol. 56.No.4.

REFERENCES

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