/CSAT_data_analysis

Pi_ville_project

Primary LanguageJupyter Notebook

CSAT_data_analysis

Pi_ville_project

0. Basic information

Basic statistics using TF-IDF & NLTK package

1. Author

서재형, Jaehyung Seo

2. Sources

참고: 전창욱, 최태균, 조중현 / 위키북스 / 텐서플로와 머신러닝으로 시작하는 자연어처리

참고: 김기헌 / 한빛 미디어 / 김기헌의 자연어 처리 딥러닝 캠프

3 Change Log

Version 1. 2019.08.20 (Latest version)

4. How to use

This .ipynb file shows the basic statistics for making a guideline of hyper-parameters in neural network.

Also, these information can be used to make visualization plot, a criteria for collecing data, and management data.