Analysis of Twitter Sentiment to discover correlations with Bitcoin and other cryptocurrencies

A Real-Time Cryptocurrency Price and Twitter Sentiments Analysis

Time series forecasting using RNN, Twitter Sentiment Analysis and Turtle Trading Strategy applied on Cryptocurrency

Twitter Sentiment Analysis for the top 10 cryptocurrencies on CoinMarketCap

Monitor tool for stocks and cryptocurrencies that includes twitter sentiment analysis on key accounts

Sentiment analysis on tweets analyzing any trade-able asset (Cryptocurrency) using Machine Learning and statistical classification model

Predicted the Price of the Cryptocurrency(Bitcoin) using the past time-series data, Twitter Sentiments(Polarity and Sensitivity), Currency's Fundamentals and Technical Indicators like RSI and SMA on LSTM. The Notebook contains the Exploratory data analysis(with important links) and the astounding result at the end of it

A comprehensive Python tool for crypto project analysis Combines Twitter sentiment analysis, Telegram message extraction, token security checks, influencer metrics, and Raydium DEX interactions. Ideal for researchers and traders seeking holistic insights into cryptocurrency projects.

Cryptocurrency bot for storing trade data from Binance along with sentiment analysis for coins on Twitter.

Cryptocurrency Sentiment Analysis Twitter Bot

A lightweight n8n workflow that pulls weighted sentiment scores from Twitter, Reddit, Telegram, YouTube and Bitcointalk, then feeds the combined data into GPT-4o to produce a concise, JSON-formatted insight (confidence, reasoning and per-source values) tailored for cryptocurrency analysis.

A bot that runs a sentiment analysis on the "tweets at" for the Twitter accounts of the top 4 cryptocurrencies. It will then tweet a graphic visualization of the results every 24 hours. We will be using python and the vader framework to carry out this process.

Sentiment-driven cryptocurrency analysis and prediction using Twitter, Reddit, and market data.

ML-based Cryptocurrency tracker - for Blockchain Hackathon. Sentiment analysis from Twitter and News sources to correlate and extrapolate currency exchange rates.

Twitter and Reddit API data is used to populate individual cryptocurrency financial and sentiment analysis dashboards to identify and evaluate trends in the market.

Price forecast for several crypto coins taking into account the influence of media resources. For this purpose, besides historical data on coins, posts from Reddit and Twitter with mention of coins, as well as information from Google Trends and Wikipedia were collected. Sentiment analysis improved the accuracy of cryptocurrency price forecasts.

Twitter Sentiment Analysis of Cryptocurrencies

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Predicting Fluctuation in Ethereum Cryptocurrency Using Twitter Sentiment Analysis

Desktop app which allows the user to select twitter users to monitor for tweets related to the cryptocurrency of their choice. Our desktop app will use sentiment analysis to give an immediate buy/sell notification when one of the selected influencers sends a tweet about the chosen cryptocurrency. In addition to notifications, users can open the desktop app to scroll through a history of previous crypto-related tweets.

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Crypto Market Prediction using LSTM & Sentiment Analysis . 🚀 An AI-powered cryptocurrency market prediction system using Binance data, LSTM models, and Twitter sentiment analysis.

A complete full-stack application for collecting, analyzing, and visualizing cryptocurrency market data with technical indicators, Twitter sentiment analysis, and real-time insights. This project combines market data analysis with social media sentiment to provide comprehensive cryptocurrency insights.

This project discussed how sentiment analysis is used to predict cryptocurrency prices using multiple sources of social media such as Twitter

A robust Python tool that automates the process of mining cryptocurrency-related tweets from Twitter (X) using Selenium, extracting detailed engagement metrics, and performing sentiment analysis with VADER. Ideal for traders, researchers, and data analysts seeking actionable market sentiment insights.

Exploring the Bitcoin market through AI/ML. Analyzing historical data, then delving into Twitter sentiment analysis to understand social media's impact. Gain valuable insights on market trends, sentiment drivers, and social influence to make informed decisions in the dynamic world of cryptocurrency.

Cryptocurrencies have been trending for a while now, this project aims to help businesses and individuals access the risks and rewards of entering the markets, by giving them a tool to forecast the price of Bitcoin using sentiment analysis and price prediction using historical data. The proposed method combined Historical Data Analysis (Investing.com) and Sentiment Analysis (Twitter) to predict future trend of cryptocurrency.

TwitterCryptoBot is a GitHub-hosted, open-source Twitter bot that delivers real-time cryptocurrency alerts, news, and market sentiment analysis directly to your feed, customizable to your trading needs and designed for community engagement and contribution.

This project constructs a real-time sentiment analysis system for cryptocurrency trends using data from Twitter and Google News. It achieves 91% accuracy with NLTK’s VADER and fine-tuned BERT Transformer, visualizing results on a Flask dashboard with AWS S3 for storage and SageMaker for deployment.

Cryptocurrency sentiment analysis via Twitter