twitter-account-analysis

This is a project to analyze the tweets of a twitter account. It uses BERT to classify the tweets into multiple categories. The categories are as below

collab link - https://colab.research.google.com/drive/1GZP1qv84h6iPXi695NXg3dkraecfsmVn?usp=sharing

Dataset

The types of toxicity are:

• toxic
• severe_toxic
• obscene
• threat
• insult
• identity_hate

Link - https://www.kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge

Setup

Model Used - BERT UNCASED

Download and save the folder in backend/models/

Model link - https://drive.google.com/drive/folders/1--mapYkARlwpwYeu6oTxP7Ly2csH_AW5?usp=sharing

Installation

pip install -r requirement.txt 

Twint Installation

pip3 install --user --upgrade git+https://github.com/twintproject/twint.git@origin/master#egg=twint

Backend - FLASK

cd backend
python main.py

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1. Addd Twitter Username in the input field

2. Model will predict the tweets and display the result