Breaking News: Grepper is joining You.com. Read the official announcement!

exp

Terrible Toad answered on March 9, 2022 Popularity 1/10 Helpfulness 1/10

answer exp

exp

Comment

d1="the best Italian restaurant enjoy the best pasta"
d2="american restaurant enjoy the best hamburger"

pip install textmining3

#termdocumentmatrix
import textmining
tdm=textmining.TermDocumentMatrix()
tdm.add_doc(d1)
tdm.add_doc(d2)
tdm=tdm.to_df(cutoff=0)
tdm

#inverted index
docs=[d1,d2]
inverted_index={}
for i,doc in enumerate(docs):
  for term in doc.split():
    if term in inverted_index:
      inverted_index[term].add(i)
    else:
      inverted_index[term]={i}

inverted_index

#tfidf
from sklearn.feature_extraction.text import TfidfVectorizer
tfidf=TfidfVectorizer()
result=tfidf.fit_transform(docs)
print(tfidf.vocabulary_)
print(result)

#cosine similarity
from sklearn.metrics.pairwise import cosine_similarity
print(cosine_similarity(tdm))

Popularity 1/10 Helpfulness 1/10 Language whatever

Source: Grepper

Tags: exp whatever

Link to this answer
Share Copy Link

Contributed on Mar 09 2022

Terrible Toad

0 Answers Avg Quality 2/10

Continue with Google

By continuing, I agree that I have read and agree to Greppers's Terms of Service and Privacy Policy.

exp

Contents

More Related Answers

exp

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.