Twitter Sentiment Analysis APP

This is a personal project for getting started with NLP.

Index

1. Functionalities
2. About the project
3. Frontend Project setup
4. Backend Project setup

Functionalities

• Text analysis:

  This functionality allow you to analyse a simple text (like the body of a tweet), when submit the analyser will return a value that represent what your text transmit. It can be possitive, negative or neutral.

  

• Trends analysis:

  Here you can see some tweets from the top trends analysed and colored depending their sentiment.

  

• Account analysis:

  Introduce a Twitter ID (@account) and the app will analyse the lastest tweets of the account.

  

• Hashtag analysis:

  Introduce a topic (#topic) and the app will analyse the lastest tweets of the toppic.

  

About the project

After getting my Tensorflow Developer Certification I wanted to start doing my own projects and decided to create this app after watching this dataset on Kaggle to getting in touch with NLP.

So I trainned a NLP model export it and create a Flask API to serve front end requests.

You can download the .h5 model here.

Frontend Project setup

npm install

Compiles and hot-reloads for development

npm run serve

Compiles and minifies for production

npm run build

Backend Project setup

pip install -r requirements.txt

Run Flask API

python application.py