39 lines (21 loc) · 946 Bytes

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