Toxic Word Analyzer

Authors

  • Dhairya Timbadia  Computer Engineering, Rajiv Gandhi Institute of Technology, Mumbai, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT2173123

Keywords:

Toxicity, Tokenization, Speedometer

Abstract

In this generation social media has been a huge part of our lives and there is no need to say that the current generation spend a huge amount of time on their social media accounts. Apart from there being a good social media influencer there are a lot of people who spread hatred among these influencers as well as among each other. I have tried to make a speedometer which would be able to tell the toxicity of the words that are basically used in the input sentence or paragraph. The main processing that would be done on the sentence or the paragraph would be removing punctuation marks, tokenization on the words, ‘Stop’ word removal, bigram creation, matching tokens with predefined dictionary, generating toxicity percent using scaling.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dhairya Timbadia, " Toxic Word Analyzer, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.578-581, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT2173123