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Tweet Sentiment Classifier using Classic Machine Learning Algorithms. This repository provides my solution for the 2nd Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.
Using Text Mining and Natural Language Processing Techniques pre- processed 50k tweets. Visualized the impact of hashtags on tweets sentiment using Seaborn. Applied machine learning models, calculated f1_scores, accordingly used the best model for sentiment prediction.
An interactive web application that allows Formula 1 fans to create and share their predictions for the 2024 F1 season. Users can drag and drop drivers into grid positions for each race, track points, and share their predictions with others.
Tweet Sentiment Classification using Multi Layer Perceptrons. This repository provides my solution for the 3rd Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.
Tweet Sentiment Classifier using Recurrent Neural Networks. This repository provides my solution for the 4th Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.
This project leverages NLP to lower the advertising and promotions budget of the Environmental Defense Fund (EDF) by pinpointing the time of year and areas of the country that are most likely to donate in the highest numbers