# cikmcup2017

**Repository Path**: mirrors_alvations/cikmcup2017

## Basic Information

- **Project Name**: cikmcup2017
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-24
- **Last Updated**: 2026-05-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

0. Install required libraries with Python 3.5
	requirements.txt

1. Dowload and copy Glove model to models folder
	https://nlp.stanford.edu/projects/glove/

2. Copy all data into data folder
	
3. Overwrite data_valid.csv by data_test.csv in data folder

4. Go to src folder and run "run.bat" to generate features, train models, and generate submission

5. The submission file is submission folder
	clarity.predict
	conciseness.predict