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Negative Sentiment Analysis: Cyber Bullying and Hate Speech Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 7 |
| Year of Publication: 2022 |
| Authors: Vedant Bhardwaj, Bhavin Jain, Baljot Singh Kohli |
10.5120/ijca2022922031
|
Vedant Bhardwaj, Bhavin Jain, Baljot Singh Kohli . Negative Sentiment Analysis: Cyber Bullying and Hate Speech Detection. International Journal of Computer Applications. 184, 7 ( Apr 2022), 25-29. DOI=10.5120/ijca2022922031
Abstract
Sentiment Analysis, often known as opinion mining, is the tech-nique of determining whether text data is positive, neutral, or neg-ative using natural language processing, computer linguistics, and related technology. Hate Speech, on the other hand, is abusive or threatening speech or writing that conveys prejudice, hatred, and/or urges violence against a person or group of people because of their race, religion, sex, or sexual orientation.With the exponential rise in the number of individuals using social media, where lots of stuff is shared everyday that is ostensibly harmless, hate speech has also increased dramatically. The necessity for identifying and detect-ing hate speech on social media platforms, particularly Twitter, has grown considerably, as large corporations work to establish mech-anisms to combat hate speech online. The goal of this project is to meet the demand for recognising unfavourable tweets that promote hate speech. 3
References
- Paul Rottger, Bertram Vidgen, Dong Nguyen, Zeerak Waseem,Helen Margetts, Janet B. Pierrehumbert, University of Oxford, The Alan Turing Institute, Utrecht University, Uni-versity of Sheffield: HATECHECK: Functional Tests for Hate Speech Detection Models, May 2021.
- Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia and Stefan Evert, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Germany, Harvard Medical School, United States, Sharif University of Tech-nology, Iran: How will your Tweets be Recieved? April 2021.
- Abdullah Alsaeedi, Mohammad Zubair Khan, A Study on Sentiment Analysis Techniques of Twitter Data - Interna-tional Journal of Advanced Computer Science and Applica-tions (IJACSA) Volume No. 2, November 2019.
- Ona de Gibert, Naiara Perez, Aitor Garc´ıa-Pablos, Montse Cuadros, Hate Speech Dataset from a White Supremacy Fo-rum HSLT Group at Vicomtech, Donos- tia/San Sebasti´an, Spain, September 2018.
- Pedro H. Calais, Yuri A. Santos, Virg´ılio A. F. Almeida, Wagner Meira Jr., Universidade Federal de Minas Gerais Belo Horizonte, Minas Gerais, Brazil, Characterizing and Detecting Hateful Users on Twitter - Manoel Horta Ribeiro, March 2018.
- Lei Gao, Ruihong Huang, Texas AM Univer- sity, Detecting Online Hate Speech Using Context Aware Models, May 2018.
- Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue, School of Engineering and Computer Science, Victoria Uni-versity of Wellington, In Data We Trust: A critical analysis of hatespeech detection datasets, November 2020.
- Zeerak Waseem, University of Copenhagen, Copenhagen, Denmark, Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter, 2016.
- Shobana G, Vigneshwara B, Maniraj Sai A, Twitter Sentiment Analysis, International Journal of Recent Technology and En-gineering (IJRTE), November, 2018.
- Anvar Shathik J and Krishna Prasad K,International Journal of Applied Engineering and Management Letters (IJAEML), A Literature Review on Application of Sentiment Analysis Using Machine Learning Techniques, 2020.
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