Out of the Closet: Lexicon Based Sentiment Analysis on Tweets about Homosexuality

Tanvi Anand, Krithika Ramesh, Sanjay Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social media sites such as Twitter have given a platform to people to express their thoughts even on the most sensitive of topics. In this paper, we analyze tweets which are posted by people who acknowledged their sexuality and shared their friends and families' response publicly. In our experiment, we have used a set of Tweets data with specific hashtags to analyze the response. Context-based topic modeling was used to gather tweets surrounding this topic to get the relevant tweets. The unwanted tweets discovered by the topic model was discarded. The sentiment of these tweets was then extracted using novel methods. The motivation for this process was to find out how their declaration of sexuality was perceived. Unfortunately, homophobia is one of the battles humanity continues to fight.

Original languageEnglish
Title of host publicationProceedings of the TENCON 2019
Subtitle of host publicationTechnology, Knowledge, and Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages733-738
Number of pages6
ISBN (Electronic)9781728118956
DOIs
Publication statusPublished - 10-2019
Event2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019 - Kerala, India
Duration: 17-10-201920-10-2019

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2019-October
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Conference2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019
Country/TerritoryIndia
CityKerala
Period17-10-1920-10-19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Out of the Closet: Lexicon Based Sentiment Analysis on Tweets about Homosexuality'. Together they form a unique fingerprint.

Cite this