GitHub - Grundwissen/NLP-analyze-tweets: Jupyter notebooks for analyzing famous tweets

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Jupyter notebooks for analyzing famous tweets

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
NLTK		NLTK
Spacy		Spacy
01_project_NLP_Dataset.ipynb		01_project_NLP_Dataset.ipynb
02_project_NLP_nltk.ipynb		02_project_NLP_nltk.ipynb
03_project_NLP_spacy.ipynb		03_project_NLP_spacy.ipynb
@BernieSanders_tweets.csv		@BernieSanders_tweets.csv
@HillaryClinton_tweets.csv		@HillaryClinton_tweets.csv
@realDonaldTrump_tweets.csv		@realDonaldTrump_tweets.csv
README.txt		README.txt

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### All coded on MacBook Pro 2016 - macOS Mojave - python==3.6 ###

### Disclaimer: This information gained has only research purpose and no intent to affect opinions of others ###

### Libraries Used ###

pandas
re 
numpy

tweepy
twitter

nltk
spacy

sklearn
matplotlib
wordcloud

textblob
vaderSentiment


### Short Explanation ###

- .csv - files are the generated twitter datasets

- .ipynb - jupyter notebooks:
	- 01_project_NLP_Dataset.ipynb: how to generate the datasets
	- 02_project_NLP_nltk.ipynb: nltk library used + visualization + classification
	- 03_project_NLP_spacy.ipynb: spacy library used + visualization + classification

- NLTK and Spacy directories: stored images for visualization