Use scikit-learn machine learning framework to experiment with two different machine learning algorithms using sentiment data set Use a collection of customer reviews from six of the review topics. -Data preprocessing + split the data into a training and an evaluation part

• Plot the distribution of the number of the instances in each class.
• Run 3 different ML models: a) Naive Bayes Classifier b) Base-DT: a baseline Decision Tree using entropy as decision criterion and using default values for the rest of the parameters. c) Best-DT: a better performing Decision Tree
• Error Analysis

Karl-Joey Chami 27736657 Michel Abboud 40025378 Adrian Patterson 40048841 Khalil Nijaoui 40092653

This assignment uses Jupyter Notebook, an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.

• Download and install Anaconda Individual Edition from https://www.anaconda.com/products/individual
• After installation, run Anaconda Prompt (Anaconda3)
• Navigate to the directory where the .ipynb file resides
• Type in jupyter notebook in the command prompt
• Jupyter Notebook will open up on your default browser
  • Click on File, Open
  • Choose the file Assignment1_comp472.ipynb
  • Click on Kernel, Restart and Run all

• Make sure all_sentiment_shuffled.txt text file is in the same directory as Assignment1_comp472.ipynb

• The most likely issue is a missing library

• The NLTK Library does not come installed with Anaconda
• Visit the NLTK Installation Page
• What is NLTK?
  • NLTK is a Natural Language Processing Toolkit
  • NLTK has functions to help us clean our text and remove unnecessary words/punctuation