Manuscript Number : CSEIT2173123

Toxic Word Analyzer

Authors(1) :-Dhairya Timbadia

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.

Authors and Affiliations

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

Toxicity, Tokenization, Speedometer

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Publication Details

Published in : Volume 7 | Issue 3 | May-June 2021
Date of Publication : 2021-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 578-581
Manuscript Number : CSEIT2173123
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dhairya Timbadia, "Toxic Word Analyzer", International 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
Journal URL : https://res.ijsrcseit.com/CSEIT2173123 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

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