GitHub - DevarakondaMohitVarsha/TF-IDF-and-Clustering-based-models-for-retrieving-documents-given-a-query-: Given a corpora of documents, we design two types of models. One based on Term Frequency and Inverse Document Frequency. Another model based on clustering algorithms like K-means and Agglomerative clustering. Then we issue queries to fetch the documents relevant to the queries using both the models. Finally accuracy comparison is done among various models to evaluate their performance based on precision and recall values.

DevarakondaMohitVarsha / TF-IDF-and-Clustering-based-models-for-retrieving-documents-given-a-query- Public

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Given a corpora of documents, we design two types of models. One based on Term Frequency and Inverse Document Frequency. Another model based on clustering algorithms like K-means and Agglomerative clustering. Then we issue queries to fetch the documents relevant to the queries using both the models. Finally accuracy comparison is done among var…

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
A1results.txt		A1results.txt
Assignment-1.pdf		Assignment-1.pdf
Assignment-2.pdf.pdf		Assignment-2.pdf.pdf
IRA1.ipynb		IRA1.ipynb
IRA2.ipynb		IRA2.ipynb
README A2.txt		README A2.txt
output.txt		output.txt
query.txt		query.txt