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IEEE-style report on sentiment analysis of Twitter tweets using the Sentiment140 dataset. This project involves data cleaning, preprocessing, and applying machine learning techniques to classify tw…
This repository contains a Node.js project that provides an API to access Formula 1 racing data for the years 2019-2023. It utilizes Express for building the APIs and integrates with Supabase as a …
A simple full-stack blog management system built with HTML/CSS/JS (Bulma) on the frontend, Express.js on the backend, and PostgreSQL as the database, running inside Docker.
This project focuses on sentiment analysis using the Sentiment140 dataset, which consists of 1.6 million labeled tweets. The goal of the project is to classify tweets as either positive or negative…
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