Data isualization and data pipeline for twitter (ETL) using ELK (Elastic Search, Logstash, Kibana)

This App queries the Twitter API and the Watson Personality Insights API, compares two bodies of text (tweets) from two inputed Twitter users, and displays the top 5 personality traits shared between the two Twitter users.

This study explores the link between eating disorders and online communities, analyzing user interactions on Twitter for insights into prevention and detection strategies. Is the real-life relationship reflected in social media interactions?

This repository contains code and resources for performing opinion mining and sentiment analysis on tweets using Python and Natural Language Processing (NLP) techniques. The code uses the Twitter API and the TextBlob library to fetch and analyze tweets based on a given keyword or hashtag. The results are displayed in a Streamlit web application

Conducts an exploratory content analysis of Venezuelans’ tweeters from May 20th to May 31st.

This project aims to classify and analyze the public sentiment on COVID vaccination across time, languages and countries. It's divided in 3 parts: data collection and transformation;exploratory analysis and data visualization with a dashboard; topic modelation and sentiment analysis.