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Applied-Text-Mining-in-Python
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项目作者：
umer7
项目描述 ：
Repo for Applied Text Mining in Python (coursera) by University of Michigan
高级语言：
Jupyter Notebook
项目主页：
https://www.coursera.org/learn/python-text-mining
项目地址:
git://github.com/umer7/Applied-Text-Mining-in-Python.git
创建时间：
2017-11-15T13:39:04Z
项目社区：
https://github.com/umer7/Applied-Text-Mining-in-Python
开源协议：
下载
_10a1132cac6400d2bd213289af323cac_3.3_Naive-Bayes-Classifier_1647991577379.pdf
_10a1132cac6400d2bd213289af323cac_3.4_Naive-Bayes-Variations_1647991577486.pdf
_10a1132cac6400d2bd213289af323cac_3.5_Support-Vector-Machines_1647991577532.pdf
_10a1132cac6400d2bd213289af323cac_3.6_Learning-Text-Classifiers-in-Python_1647991577635.pdf
_10a1132cac6400d2bd213289af323cac_4.1_Semantic-Text-Similarity_1647991577727.pdf
_10a1132cac6400d2bd213289af323cac_4.2_Topic-Modeling_1647991577820.pdf
_10a1132cac6400d2bd213289af323cac_4.3_Generative-Models-and-LDA_1647991577995.pdf
_10a1132cac6400d2bd213289af323cac_4.4_Information-Extraction_1647991578112.pdf
_10a1132cac6400d2bd213289af323cac_2.1_Basic-Natural-Language-Processing_1647991576934.pdf
_10a1132cac6400d2bd213289af323cac_2.2_Basic-NLP-Tasks-with-NLTK_1647991577056.pdf
_10a1132cac6400d2bd213289af323cac_2.3_Advanced-NLP-Tasks-with-NLTK_1647991577135.pdf
_10a1132cac6400d2bd213289af323cac_3.1_Text-Classification_1647991577224.pdf
_10a1132cac6400d2bd213289af323cac_3.2_Identifying-Features-from-Text_1647991577327.pdf
