README.md

CSE 143 Assignment 3

Group Names

Devasha Trivedi Lucas Schmitt Daniel Hsieh

Files Included in Submission

• a3_part1.py: Initial implementation of a RNN and LSTM models for sentiment analysis.
• a3_part1.ipynb: Notebook of a3_part1.py.
• A3-report.pdf: PDF document containing the analysis and results of our code.
• Viterbi.py: Viterbi algorithm implementation for Q3
• conlleval: Dependency file for Viterbi.py
• model.simple: Dependency file for Viterbi.py
• ner.[]: Dependency file for Questions 3

How to Run

• To run the file for question 1, use the command python3 a3_part1.py.
  • Alternatively, download the ipynb file from: https://colab.research.google.com/drive/1SKMYrrjmc1PqGjXFfE9EHCLIYkd1mT9T?usp=sharing\
• To run the the Viterbi algorithm for question 3. Use the command python3 Viterbi.py
  • Alternatively download files from: https://drive.google.com/drive/folders/1RKx9_jnVsOxUvsAd7eJGJTc0-W-9Nfcg\ Create a folder in your drive with these contents, and replace the 3rd cell of CSE-143_A3_Code.ipynb with the contents of Viterbi.py. Then run the .ipynb file.