Applied_text_mining_practice

A MOOC course focuses on using Python in performing text mining.

Subjects to learn and practice:

Regular Expression
Practice using NLTK for text cleaning, measure similarities among words/ docs and model building
Practice using Gensim package to perform topic modelling

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
A1 - RE practice.ipynb		A1 - RE practice.ipynb
A2 -Learning NLTK.ipynb		A2 -Learning NLTK.ipynb
A3 Text classification on Spam data.ipynb		A3 Text classification on Spam data.ipynb
A4-Document Similarity & Topic Modelling.ipynb		A4-Document Similarity & Topic Modelling.ipynb
Amazon_Unlocked_Mobile.csv.zip		Amazon_Unlocked_Mobile.csv.zip
Case Study - Sentiment Analysis.ipynb		Case Study - Sentiment Analysis.ipynb
Module 2 (Python 3).ipynb		Module 2 (Python 3).ipynb
README.md		README.md
Regex with Pandas and Named Groups.ipynb		Regex with Pandas and Named Groups.ipynb
Working With Text.ipynb		Working With Text.ipynb
dates.txt		dates.txt
moby.txt		moby.txt
mygrammar.cfg		mygrammar.cfg
newsgroups		newsgroups
paraphrases.csv		paraphrases.csv
spam.csv		spam.csv

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