GitHub - sapienhwaker/Machine-Learning: A text mining project where data is collected with the help of web scrapping, Spacy library has been used to perform the semantic analysis. LDA has been used to perform the topic modeling. Poisson and Negative Binomial Regression models from gensim framework have been used to for the prediction.

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A text mining project where data is collected with the help of web scrapping, Spacy library has been used to perform the semantic analysis. LDA has been used to perform the topic modeling. Poisson and Negative Binomial Regression models from gensim framework have been used to for the prediction.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
LIWC2015 Results.txt		LIWC2015 Results.txt
NegativeBinomial.py		NegativeBinomial.py
Possions.py		Possions.py
cloud.py		cloud.py
collection.csv		collection.csv
images.jpg		images.jpg
latest.py		latest.py
project.py		project.py
readme		readme
real.txt		real.txt
seperatepost.py		seperatepost.py
tops.txt		tops.txt
work.py		work.py

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Files, Code and related information:

1. project.py : Data collection
2. work.py : Emotional categorization of words and their respective percentage
3. latest.py : LDA model for 10 topics
4. Possions.py : Poissons prediction model
5. NegativeBinomial.py : NegativeBinomial prediction model
6. seperatepost.py, cloud.py were created while experimenting.