Text Sentiment Analysis in Python using Natural Language Processing (NLP) for Negative/Positive Content Detection. Deployed on the Cloud using Streamlit on the Heroku Platform.
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Updated
Jan 14, 2021 - Jupyter Notebook
Text Sentiment Analysis in Python using Natural Language Processing (NLP) for Negative/Positive Content Detection. Deployed on the Cloud using Streamlit on the Heroku Platform.
Classification of hate speech and implicitness of hate speech, using Transformer language models (BERT). This repository can be used as an introduction to text classification with BERT-like models.
KERM-HATE push forward the research on how syntactic information can be used to de-bias hate speech recognizers and so to contribute to solve problems of prejudice.
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