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?

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 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

Criado para coletar e armazenar tweets utilizando a API do Twitter. Inicialmente inspirado no caso de uso do livro Um Voluntário na Campanha de Obama, este projeto tem como objetivo demonstrar a importância do monitoramento no X. O coletor permite buscar tweets sobre qualquer termo desejado

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.

Este projeto implementa um analisador de sentimentos utilizando Python. Ele foi desenvolvido para identificar o sentimento de textos (por exemplo, tweets) classificando-os como positivo, negativo ou neutro. Inspirado em uma solução similar em PHP.