TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
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Updated
Jul 19, 2024 - Python
TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.
Stock price recommender
Performing comparative sentiment analysis to determine public reaction on newly introduced Farm Laws of 2020, India by collecting data using Twitter Tweepy API
PoliceSight is an open-source public monitoring system aimed to enhance the safety of the Indian pubic using NLP powered compliant detection system for twitter and Computer Vision assisted road accident detection and alerting.
Real-Time Twitter Data Analytics
Classification Report Sentiment Analysis and Trend Analysis
A trained machine learning model to detect early symptoms of depression using data collected from X (Twitter) that is integrated into Telegram.
A text-to-audio application that turns words and sentiments into melodies.
Comparison of Naïve Bayes classifier for sentiment analysis on Twitter datasets, between sequential and distributed implementations
Scikit-Learn & Keras LSTM | Projeto voluntário de análise de sentimentos dos tweets da quarentena | Python
tweety scrape all the tweets using python and selenium with No API rate limits. No restrictions. Extremely fast.
Run and monitor Machine Learning scripts from a Django web app
Twitter Sentiment Analysis using #tag, words and username
Machine Learning Project
Twitter Crawling is a tool that utilizes Twitter API to get tweets based on keywords searches
Analyze public opinion on Tweet by mining and processing live Twitter data. Employ machine learning to classify tweets as positive, negative, or neutral, then visualize sentiment trends and identify key influencers.
This is my first NLP Project. It consists in a Game Review Analyzer where the model detects if it's a positive, negative, neutral or irrelevant review.
Elon Musk tweets analysis
Analyzing Twitter sentiments with NLP deployed on Streamlit. Predicts sentiment (positive/negative) based on user-input text.
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