This file contains the following documents sumbited for Baruch CIS9665 group 9 fall 2021. 1. Dataset: drug_reviews.csv 2. python codes for text classification: Group 9 Final Submission.ipynb 3. python codes for topic modeling: Group 9 further research topic modeling.ipynb 4. final report: CIS9665_Team9_Final_Project_Report.pdf 5. Notebook in pdf form: Group 9 Final Submission - Jupiter Notebook.pdf 6. Notebook in pdf form: Group 9 further research topic modeling.pdf
NLP techniques such as named entity recognition, sentiment analysis, topic modeling, text classification with Python to predict sentiment and rating of drug from user reviews.
Overview
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