A serverless tweet analyser that's built using Google Natural Language API, Slack and Webtask

Kaggle Twitter US Airline Sentiment, Implementation of a Tweet Text Sentiment Analysis Model, using custom trained Word Embeddings and LSTM-Deep learning [TUM-Data Analysis&ML summer 2021] @adrianbruenger @stefanrmmr

Tweet Text Writer Recognition Application

Source code for Twitter's Recommendation Algorithm.

Analysing Of Tweet Sentiments Using Supervised Learning Classification Algorithms

The repository contains the stance detection from twitter data project Code and Documentation

Turkish series tweets' sentiment analysis with Bert-base Turkish Sentiment Model

A tweet sentiment analysis app using Node.js and vanilla JS.

Ukraine Russia war tweet Analysis using Natural Language Processing NLP (Sentimental Analysis)

RedBricks is a FastAPI web app for tweet sentiment analysis using a pre-trained LSTM model. It provides an API for sentiment prediction and is deployed on Koyeb with an automated CI/CD pipeline via GitHub Actions. For deployment details, refer to the linked Medium article.

Bitcoin Tweet Sentiment & Topic Analysis

Welcome to our project, where we leverage advanced sentiment analysis techniques to detect and classify toxic content in game-related tweets. Our goal is to develop a predictive model that can accurately identify toxicity based on the language used in these tweets.

This project implements a complete NLP pipeline for Persian tweets to classify topics and detect fake news. Using a Random Forest classifier, it compares tweet content with trusted news sources, achieving 70% accuracy in fake news detection.

Fine-tuning RoBERTa sentiment analysis model on tweets about the Coachella 2015 music festival lineup

Interactive web interface of the twitter sentimental tool

Tweet Intelligence : a sophisticated approach to extracting deep insights from tweet data using state-of-the-art generative AI and large language models.

Sentiment categorization system using classical ML algorithms for tweets | A2 for COL772 course (Fall 21)

Tweet Sentiment Analysis using Deep Learning

This is a simple Flask-based web application that uses the Twitter API v2 to fetch recent tweets based on a keyword and performs sentiment analysis using TextBlob. It classifies each tweet as Positive, Negative, or Neutral.