This is a personal project that i created for RMDS Data Scientist Program.
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Updated
Jun 19, 2024 - Jupyter Notebook
This is a personal project that i created for RMDS Data Scientist Program.
Sentiment Analysis for a Corpus of data
Text Analysis which covers - text data preparation, frequency analysis, word correlation, Sentiment Analysis, and Topic modelling using Latent Dirichlet Allocation (LDA). Includes intuition for each part, and some explanations for how to interpret the outputs.
Hoax Data Classification Text Analytics
Scraped ice-cream shops information on Yelp with Beautiful Soup, used Pandas to output the result in a table and visualized the ice-cream shops rating with Matplotlib.
Data Analytics For Information Professionals
Task-1 : Sentiment Analysis (Text Analysis+ Sentiment Analysis+ LDA model) Task-2: Random Forest Model for booking completion
Assignments work so far
Suits (American TV series) | Why it ended! Is it the writing? | Text Analytics on the Subtitles(en) to understand if its true!
Detect a sentiment from a text, using Azure Text Analytics API
Language processing classification and prediciton ML project
To understand buyers purchase pattern on specific category and to get insights on the reviews by age group, sentiments.
Sentiment and Time series Analysis for Pfizer & BioNTech COVID-19 Vaccine
AWS Comprehend - Python Implementation using boto3
The Product Review Sentiment Analysis project that leverages NLP and ML techniques to classify customer reviews into positive, negative or neutral sentiments. The application provides insights into customer feedback, helping to identify product strengths and weaknesses and enhance the overall customer experience.
This repository is an addition to my bachelor's thesis, including some files that I used in my work and a Web Appendix with additional insights.
My codes for CS 688 Web Analytics and mining
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