/EmoSense

This repository consists of my implementation of sentiment analysis using RNN machine learning model.

Primary LanguagePython

Sentiment Analysis using RNN

This repository consists of my implementation of sentiment analysis using RNN machine learning model.
NOTE:
Install the requirements from the requirements.txt file
command:

pip install -r requirements.txt

This repository doesnt contains the ft_model_bin.npy as it was over 100 MB file.
This model has the implementation of training on custom word embedding - word2vec.

EXECUTING THE WEBAPP:
Download the code
Open terminal and run the following command:

python app.py

This will open the web app and there you can insert your texts to get sentiments (negative,positive) and score.

ALTERNATIVELY :
You can just run the .ipynb file named RNN(w2v) to train the model and run the score analysis.