aniass / sentiment-app

The REST API Web App for Sentiment analysis of clothes reviews by using Flask and Machine Learning model.

Sentiment analysis app

General info

The web app for sentiment analysis of clothes reviews. In this project I develop a REST API using the Python Flask framework and ML pretrained model. It is a simple method on implementing machine learning APIs.

The project and code for this pretrained model is available here.

Project includes:

• Flask API script - app.py
• script to build and pickle the classifier model - training_model.py
• models - pickled pretrained model used in app,
• templates, static - HTML files for the front-end.

Technologies

Project is created with:

• Python 3.6, Flask;
• HTML, CSS;
• libraries: pandas, regex, nltk, scikit-learn, joblib.

Running the app:

To run this app install locally packages:

pip install -r requirements.txt

Next download the project files to your system, then go to the folder/directory where these files reside and run the script:

app.py