Utilizes vader lexicon sentiment analysis to identify major trends and engagement of Donald Trump's Tweets.

Text mining using tweets of three politicians from RJ.

Sentiment analysis of tweets using machine learning

Implementation of the method TSTE for detecting popular topics in tweet dataset. Models topic as a set of semantically connected words using topic graph. Based on paper M. Cataldi, L. Di Caro i C. Schifanella, „Emerging Topic Detection on Twitter based on Temporal and Social Terms Evaluation”.

Perform sentimental analysis on the Elon-musk tweets (Elon-musk.csv)

A machine-learning approach to predicting market fluctuations based on tweet classification in social media articles

Trump Tweets Sentiment Analysis. Third Assignment for Data Analytics course @unimib18/19.

In this project, I applied sentiment analysis using a statistical machine learning model to capture the correlation between the tweets extracted from Twitter and stock’s price market movements. My exploration sought to answer if daily stock prices behave in response to a positive, neutral, or negative sentiment scoring of respective tweets

Final project for "Natural Language Processing" course at University of Tartu. December 2017.

Data analysis platform that guides you in the creation of digital content and facilitates the development of marketing strategies.

Review of XLM-T Language Model

Determining the correlation between the market value of company respect to the public opinion of that company. And to answer the question that "Does tweet volume have any effect on stock market trading volume?"

Exploring Public Opinion Dynamics From 2020 U.S. Election Tweets, CSC440 Fall 2023

Pequeña introducción a la captura de tweets y algo de data mining usando R

En esta práctica se empaqueta y distribuye una aplicación Python que descarga y analiza tweets en función de puntuaciones de sentimiento. Los resultados del análisis se guardan en una base de datos MongoDB, y la información se muestra en la web.

Social Media Sentiment Analysis

This project aims to built, test and select a Natural Language Processing model that has optimal performance to predict cyberbullying type of tweets from an account

Dexter is a friendly bot powered by a multichannel convolutional neural network 🤖

Pipeline used to analyze tweets using text mining and graph mining approaches

Implementation of the method Trend Miner for detecting popular topics in tweet dataset. Models topic as a set of semantically connected words using word cooccurrences. Based on paper N. Pervin, F. Fang, A. Datta, K. Dutta i D. Vandermeer, „Fast, scalable, and context-sensitive detection of trending topics in microblog post streams”.