naufalafif / Tfidf
Simple TF IDF Library
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Simple TF IDF Example with no dependencies
How to use !
- Download or clone this repo https://github.com/naufalafif/tfidf.git (using terminal or command prompt)
$ git clone https://github.com/naufalafif/tfidf.git
- import tfidf.py & make object of it
from tfidf import tfIDF
# dataset (make sure it is a list)
dataset = ['my name is tfidf', 'her name is feature extraction']
# make an object
tfidf_object = tfIDF(dataset)
Make sure you have python installed
there are several function you can call to get some info from tfidf object
| Function | Descriptions |
|---|---|
| .getTFIDF() | return tfidf score of each word |
| .getSCORE() | return tfidf score of each document |
| .getIDF() | return idf score of each word |
| .getWORDSET() | return all word in dataset (all document) |
| .getWORDDICT() | return term frequency of each word |
| .seacrh(query) | return similarity score of each document to query |
if want to simply learn how to use it or see the result, just run my jupyter notebook file (TFIDF.ipynb)
Example
from tfidf import tfIDF
# dataset (make sure it is a list)
dataset = ['my name is tfidf', 'her name is feature extraction']
# make an object
tfidf_object = tfIDF(dataset)
# searching
print(tfidf_object.search('tfidf'))
# it will print index & similarity score of document
# OUTPUT : [[0, 0.1812381165789131], [1, 0.0]]
Thank You
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