Capstone project to automate Twitter hate speech detection with classification modeling.
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Updated
May 17, 2021 - Jupyter Notebook
Capstone project to automate Twitter hate speech detection with classification modeling.
Developing a classification model to detect hate tweets ready for deployment using various NLP techniques
Code for 3 papers: 1) "Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets"; 2) "LT3 at SemEval-2022 Task 6: Fuzzy-Rough Nearest neighbor Classification for Sarcasm Detection"; 3) "Fuzzy Rough Nearest Neighbour Methods for Detecting Emotions, Hate Speech and Irony" by O. Kaminska, Ch. Cornelis and V. Hoste.
Given a Tweet (Hindi + English), task is to identify whether it is offensive or not,
PAN 2021 - Profiling Hate Speech Spreaders on Twitter
CSC2612 Course Project
Indonesian Twitter Hate Speech Classification using RandomForest, Naive Bayes and KNN
The expert-annotated hate speech dataset used for a study on annotating misogynistic hate speech
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