Kaggle: Bag of Words Meets Bags of Popcorn

Table of Contents

• Project Overview
• Install
• Code
• Run
• Data

Project Overview

Project information can be found at kaggle.

This mini-project contains a practice of using Bag-of-Words with a Random Forest Classifier to learn IMDB review text and predict review sentiment labels.

Install

This project requires Python 2.7 and the following Python libraries installed:

• NumPy
• Beautiful Soup
• nltk
• scikit-learn
• XGBoost

You will also need to have software installed to run and execute a Jupyter Notebook

Udacity recommends our students install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

Code

Complete code is provided in the notebook.ipynb notebook file. You will also be required to use the dataset file in data directory to complete your work.

Run

In a terminal or command window, navigate to the top-level project directory (that contains this README) and run the following command:

jupyter notebook notebook.ipynb

This will open the Jupyter Notebook software and project file in your browser.

Data

Training and test data can be downloaded here.