Sentiment Analysis with Logistic Regression

Overview

This is the code for this video on Youtube by Siraj Raval.

This repository contains a jupyter notebook and the necessary data to implement sentiment analysis of tweets using Logistic Regression. Please open the notebook for more information.

The dataset

The dataset was obtained from a Kaggle competition. The dataset is divided into a train and a test dataset. Each record contains the following fields:

Web app

You can go straight ahead and try out the algorithm with a small web app I have included in this repository, just run:

cd site
python app.py

Then open a browser in the default address (http://127.0.0.1:5000/) and play around:

Requirements

This notebook will run in Python >= 3.5. The following packages are required:

• bokeh
• flask
• nltk
• numpy
• pandas
• scikit-learn

Limitations

Because the training set contains only English twits, this classifier will only work with English twits.

Credits

Credits for this code go to guillermo-carrasco