HateAnalyser
This web application takes text/tag (which return tweets from twitter for analysis) as an input and do the sentiment analysis to identify if text contains hateful speech and potential threats.
Created on 20th June 2022
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HateAnalyser
This web application takes text/tag (which return tweets from twitter for analysis) as an input and do the sentiment analysis to identify if text contains hateful speech and potential threats.
The problem HateAnalyser solves
It will help police and researchers to identify what topic is receiving hatefull comments by public, which will help in stopping riots and wrongful public persuations spread through twitter. Using this app one can analyse the peice of text or pass in tag, if a tag is passed application will look into tweets related to that topic and further analyse the tweet content to identify sentiments of those tweets.
Challenges I ran into
Since I m handling things using API, each and every data in my web application comes through an API and all of these are data are interrelated so coming up with an solution to make all calls process by process is hard. I tackled it by utilizing JavaScript promises at there fullest.
Also the API I used are RESTful and return a large chunk of data, extracting the meaninful data and converting it into a displayable data is a hard task which I handled using Javascript objects