Sentiment Analysis of Social Issues

-Presented ByShailendra Kumar SinghRoll No.:- ME/SE/10003/13M.E- Software EngineeringComputer Science & Eng.,Department, BIT, Mesra.

-Under Guidance ofDr. Sanchita Paul(Assistant Professor)Computer Science & Eng.,Department, BIT, Mesra.

Outline• Work Flow Chart• Introduction• Negative Sentence• Negation Words• Negation Handling Rules• Need of Negation Handling Rules• Result Comparison (Negative Comments)• Positive Sentence• Result Analysis (Positive & Negative Comments)• Drawback• Future Work

Work Flow Chart

• Work Flow Chart.docx

Introduction

• Our approach is verb oriented sentiment classification method.

• It works at sentence and opinion level.• We extract opinion verb and calculate its’

sentiment score from opinion verb dictionary.• Binary Classification:- Positive or Negative

System Architecture

Negative Sentence due to Negative verb

Negation Words• These words change the sentiment of sentence from Positive to Negative and Negative to Positive.List of Negation Words• nor• useless• no• never • not• without • against

“useless” Word is not consider as Negation word.

When “useless” word is consider as Negation word.

“against” Word is not consider as Negation word.

When “against” Word is consider as Negation word.

Negation Handling RulesNegation

WordOpinion

verbSentiment

score Positive/ negative

Sentiment score calculation

Yes Positive Negative negative_score = negative_score – 1 * word_score

Yes Negative Positive positive_score = positive_score – 1 * word_score

Yes Verb not in dictionary

Negative negative_score = negative_score + (-0.125)

RULE-1

negative_score = negative_score – 1 * word_score

RULE-2

positive_score = positive_score – 1 * word_score

RULE-3

negative_score = negative_score + (-0.125)

Why we need Negation Handling Rules?

• I love Mexican food. Love= sentiment score (0.5) Sent_score= 0.5 • I do not hate Mexican food. Hate= sentiment score (-0.75) Sent_score = -1 * -0.75 =0.75 • Word “not hate” is synonyms of “love”. But sentiment

score of “hate (0.75)” and “love (0.5)” is not equal.

Result Comparison

• RESULT COMPARISON.docx

Positive Sentence.

• Identification & Sentiment Score Calculation of Positive Sentence.

Kind of Positive Sentence

1- Simple Positive Sentence due to positive verb.2- Negative Sentence become Positive Sentence

due to Negation Word

Simple Positive Sentence due to positive verb.

Negative Sentence become Positive Sentence due to Negation Word

Result Comparison

Positive Comments=39Negative Comments= 41Negation Word= -0.125

METHOD DOMAIN ACCURACY

Somasundaran,2010 [2] Social Issues 62.5%

M. Karambekr et al,2012 [1]

Social Issues(verb, adjective, adverb)

65%

Our Method Social Issues (verb) (79.166 – 85.135) %

Drawbacks

1- failed to identify the negation word at last position in any subjective sentence .

2- Failed to Identify -Verb, past participle

Future Work

• Result Analysis –at different values of Negation words.

• Classification of Topic into +ve / -ve sentence.• Collection of Comments- on other topic.• Thesis Writing.

Classification of Topic into +ve / -ve sentence.

• “Is the Use of Standardized Tests Useless for Education in America?”

• Comments:-1- Yes, standardized tests are useless for 5th class

students. (Sentiment is +ve).2- Standardized Tests can improve Education in

America.(Sentiment is –ve).

References[1] M.Karamibekr & Ali A. Ghorbani. “Sentiment Analysis of Social Issues”. International

Conference on Social Informatics (IEEE) 2012.[2] S. Somasundaran and J. Wiebe. Recognizing stances in ideological online debates. In Workshop

on Computational Approaches to Analysis and Generation of Emotion in Text, pages 116–124. ACM, 2010.

[3] M.Dadvar, C. Hauff, and F.de Jong. “Scope of Negation Detection in Sentiment Analysis.” In 11 th Dutch-Belgian Information Retrieval Workshop (DIR 2011), 2011, pp. 16-19.

[4] B. Liu. Sentiment analysis and subjectivity. Handbook of Natural Language Processing, 2010.[5] Livia Polanyi and Annie Zaenen. “Contextual Valence Shifters”. In Proceedings of the AAAI

Spring Symposium on Exploring Attitude and Affect in Text, 2012.[6] http://sentiwordnet.isti.cnr.it[7] http://www.procon.org/

Thank You