Developed a Python program that scrapes tweets off Twitter using twint, based on the user’s input and exports the data as CSV. Extracted and analyzed sentiments using Afinn to examine how positive or negative the tweets are, using Matplotlib to display them on a pie chart.+more
Scraping Top Trending Hashtags related tweets in your country.
Classification of Disaster related tweets from Social Media using BERT Model
This repository contains all files regarding Project POLAR: Portraying OnLine hARm. The project aim is to scrape tweets and identify how online negativity spreads and is portrayed online.
Scraping using Pyhton
Automated Twitter tweet analysis for any Twitter handle. Aimed at analyzing potential employer's Twitter handles.
Progetto Data Management and Visualization
Methods used for the classification of Tweets related to the 2022 Russian Invasion of Ukraine
Analysed SEPTA on-time-performance for Kaggle Data
Poster Presentation on the topic "Exploring Substance Use Disorder (SUD) Patterns on Twitter Before and During COVID-19 Pandemic". This poster was presented during National Big Data Health Science Conference 2021 conducted virtually by University of South Carolina, Columbia, USA. Link: https://www.sc-bdhs-conference.org/
Data in News project, redone using Github Actions.
Identify best tweeting practices by hospitals in Illinois during COVID-19. Also find factors affecting popularity of a tweet.
Web & social media scraping in Pythonian way
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