WikiSentimentRanking

Project Report

The Project Report contains:

• Problem Statement,
• Motivation,
• Problem Formulation (in context of Machine Learning),
• Description of the Approach to Solution,
• Utilized Data,
• Evaluation process,
• Results & Discussion.

Main Notebook

main.ipynb

Build instructions

You can run the Shell script ./start_env.sh or configure Docker manually:

$ docker pull jupyter/pyspark-notebook
$ docker build -t wiki_sentiment_ranking .
$ docker run -it --rm -p 8888:8888 wiki_sentiment_ranking

Evaluation

The two algorithms were evaluated in the next notebooks:

• Advanced_LR_Evaluation.ipynb
• VADER_Evaluation.ipynb