SUTD ISTD 01.112 machine learning group project

This project is SUTD Machine Learning class project under the instruction of Prof. Lu Wei.

Part 1.

• Label dataset for sentiment analysis.

Part 2.

• Build a Navie version of Hidden Markov Model.

Part 3.

• Build a Hidden Markov Model and decoding using Viterbi algorithm.

Part 4.

• Build a Hidden Markov Model and decoding the 7th best path for prediction.

Part 5. Design Project.

• Build a Model for sequence tagging task, particularly on English Text Chunking task dataset/EN and Chinese Address Parsing Task dataset/AL.

For more detail, you can refer to Project.pdf.

Repository Structure

Result and report is in main.ipynb

Output files are under the dataset/

To replicate results, you need to install scipy and numpy, and replicate results in CRF_AL.ipynb and CRF_EN.ipynb

Collaborators

• 1002961 Wu Tianyu
• 1002871 Gao Yunyi
• 1002949 Hong Pengfei