Hello and Welcome to my Portfolio Folder!

TFIDF scores for all words in all documents and building an inverted index

** Dataset : BBC articles for athletics, cricket, football, rugby, tennis

** Dataset : Data of this Text-Analysis work from scikit-learn 20 newsgroups data.

For Implementation, I use Python 3.7.7 and Python libraries are also required:

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
bbcsport		bbcsport
Implementation_TF-IDF_By_MapReduce.pdf		Implementation_TF-IDF_By_MapReduce.pdf
Output_Inverse_Index_TF_IDF		Output_Inverse_Index_TF_IDF
README.md		README.md
TFIDF_Scores_Retrieve_Matching_Documents_Mapper_Search.py		TFIDF_Scores_Retrieve_Matching_Documents_Mapper_Search.py
TFIDF_Scores_Retrieve_Matching_Documents_Reducer_Search.py		TFIDF_Scores_Retrieve_Matching_Documents_Reducer_Search.py
TF_IDF_Mapper.py		TF_IDF_Mapper.py
TF_IDF_Reducer.py		TF_IDF_Reducer.py
Topic_Modeling_with_LSA_LDA.ipynb		Topic_Modeling_with_LSA_LDA.ipynb