https://github.com/emrys-hong/sutd-machine-learning-project
SUTD ISTD 01.112 machine learning class group project
https://github.com/emrys-hong/sutd-machine-learning-project
Last synced: 3 months ago
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SUTD ISTD 01.112 machine learning class group project
- Host: GitHub
- URL: https://github.com/emrys-hong/sutd-machine-learning-project
- Owner: Emrys-Hong
- Created: 2019-11-12T06:00:09.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-12-20T15:39:50.000Z (over 5 years ago)
- Last Synced: 2025-01-15T08:19:16.596Z (4 months ago)
- Language: Jupyter Notebook
- Size: 82.8 MB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 4
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Metadata Files:
- Readme: Readme.md
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README
# 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