CustomSearchEngine

Performant Vector-based, Boolean-based, LSI-based, and probabilistic search engines built as part of the 2023 Information Retrieval and Extraction Course. Assignment Specifications, including functions of scripts can be found in the .ipymb files.

Name		Name	Last commit message	Last commit date
AS1.ipynb		AS1.ipynb
Assignment 3.ipynb		Assignment 3.ipynb
Assignment-2 .ipynb		Assignment-2 .ipynb
README.md		README.md
RankingLatentSemanticIndexing.py		RankingLatentSemanticIndexing.py
RankingProbModel.py		RankingProbModel.py
TermDocumentMatrixLatentSemanticIndexing.py		TermDocumentMatrixLatentSemanticIndexing.py
TermDocumentMatrixProbModel.py		TermDocumentMatrixProbModel.py
cluster_and_plot.py		cluster_and_plot.py
compQueryBoolean.py		compQueryBoolean.py
compQueryVector.py		compQueryVector.py
compare_keywords.py		compare_keywords.py
createTermDocumentMatrix.py		createTermDocumentMatrix.py
english.stop		english.stop
evaluate_queries.py		evaluate_queries.py
frequent_words.py		frequent_words.py
plot_frequency_distribution.py		plot_frequency_distribution.py
plot_zipfs_law.py		plot_zipfs_law.py
preprocessing.py		preprocessing.py
queryBooleanRepresentation.py		queryBooleanRepresentation.py
queryBooleanRepresentationProbModel.py		queryBooleanRepresentationProbModel.py
queryVectorRepresentation.py		queryVectorRepresentation.py
search_engine_evaluate.py		search_engine_evaluate.py
similarityMeasure.py		similarityMeasure.py
tag_cloud.py		tag_cloud.py
zipfs_law.py		zipfs_law.py

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