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3. Relevance Feedback and Evaluation Metrics/Solution/RelevanceFeedback_and_PRCurve.ipynb
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3. Relevance Feedback and Evaluation Metrics/Solution/count_to_name.pkl
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3. Relevance Feedback and Evaluation Metrics/Solution/df_dic.pkl
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3. Relevance Feedback and Evaluation Metrics/Solution/document_term_tfidf.zip
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3. Relevance Feedback and Evaluation Metrics/Solution/name_to_count.pkl
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3. Relevance Feedback and Evaluation Metrics/Solution/plot_tnse_data.pkl
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3. Relevance Feedback and Evaluation Metrics/Solution/prepro_files.pkl
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Code File: RelevanceFeedback_and_PRCurve.ipynb | ||
Analysis File: Report.pdf | ||
Rest data files and readme. | ||
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To run the program, keep all the files in the same folder and open Jupyter Notebook to run the program stepwise, else create a python file out of it. | ||
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P.S. Install all the dependencies mentioned in the python notebook. |
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