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

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

Source code for Twitter's Recommendation Algorithm.

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

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

Analysing Of Tweet Sentiments Using Supervised Learning Classification Algorithms

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.

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.

Interactive web interface of the twitter sentimental tool

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

Tweet Sentiment Analysis using Deep Learning

Extract words that supports a tweet's sentiment

Implementation of Covid-19 sentiment analysis with python using Natural Language Toolkit Library

Welcome to the repo where I test different NLP ideas 🤖 & 📝

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

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