Grouper-IR

Divides the given set of Names into groups using accessible Digital footprints.

Used Libraries

1. googlesearch
2. BeautifulSoup
3. requests
4. NLTK
5. numpy
6. Lsa
7. sklearn

1. Obtaining Data of Given Names

• Get the top 10 links related to the given name using googlesearch Library.

• Get the text using BeautifulSoup Library.

• Pre- process all the text( Removing all stopwords, Apply stemming, tokenize) using NLTK library.

2. Forming TF_IDF matrix for Each Name

• Buid a Tf-Idf matrix for each name from the pre-processed text.

3.Create LSI Corpus and Cluster them

• Create LSI corpus using Tf-Idf matrix and cluster them using K-means Algorithm.

DEMO