Data Analytics For Information Professionals
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Updated
Jun 3, 2019 - Jupyter Notebook
Data Analytics For Information Professionals
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.
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
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
In this project, I conducted a sentiment analysis of user comments related to the movie "The Little Mermaid." The analysis aimed to understand the online community's sentiment and engagement surrounding this highly anticipated film release.
Sentiment analysis :Joe Biden's statements of 18th January,2024.
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