Sentiment analysis

This is a PyTorch implementation of a Sentiment Analyser built with BERT (BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding)

Setup and Requirements

2. Clone the Translate repo:

$ git clone clone https://github.com/Strifee/arabic2english.git

3. install requirements:

pip install -r requirements.txt

Data

Emotion Detection from Text :

Emotion Detection from Text is basically a collection of tweets annotated with the emotions behind them. We have three columns tweet_id, sentiment, and content. In "content" we have the raw tweet. In "sentiment" we have the emotion behind the tweet.

Vizualisation :

Model

Results

Check all results on the notebook.