GitHub - syedhadi816/Similarity-Measurement-in-Text-Data: Measuring similarity in textual data (Bag of Words model) using Jaccard distance, Cosine similarity and Euclidean distance.

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Measuring similarity in textual data (Bag of Words model) using Jaccard distance, Cosine similarity and Euclidean distance.

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Name		Name	Last commit message	Last commit date
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ReadMe.txt		ReadMe.txt
Similarity Measurement.ipynb		Similarity Measurement.ipynb
data50.csv		data50.csv
groups.csv		groups.csv
label.csv		label.csv

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There are 3 files in this folder
data50.csv
label.csv
group.csv. 

In data50.csv there is a sparse representation of the bags-of-words, with each row containing 3 fields: articleId, wordId, and count.
To find out which group an article belongs to, use the file label.csv, where for articleId i, line i in label.csv contains the groupId. 

Finally the group name is in group.csv, with line i containing the name of group i.