Explore live open-source projects and AI models.

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming twee... Read more

Developed a high performance data processing platform using Apache Kafka, Apache Cassandra, and Apache Spark to analyze stock price and related stock tweets sentiment.

Process your tweets.js file from the X archive to create a training and validation set for fine-tuning LLMs.

✈ Disaster Tweet ⛴ Classification 🚀 Using NLP 🚃 Machine Learning 🛫 is a data science 🛼 that applies 🚁 Natural Language 🏘 Processing and 🛩 Machine Learning to classify tweets 🛸 as disaster related non disaster 🚟 related It demonstrates how AI ⛱ can be leveraged real time crisis management 🚢 emerge... Read more

Collect and process real time twitter data plotting various metrics like volume , proportion, sentiment. Analyze tweet node networks and map them geographically.

Engineer streaming processing data pipeline on Azure with the main purpose to ingest and process tweets and satellite images data from Hurricane Harvey natural disaster, and serve Power BI.

This Project is part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The dataset contains pre-labelled tweet and messages from real-life disaster events. The project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time b... Read more

A Natural Language Processing project that performs sentiment analysis on Twitter data using TF-IDF and Logistic Regression. The model classifies tweets as positive or negative and evaluates performance using accuracy and classification report.

A processing pipeline for JSON-formatted Tweet data, such as that returned by Twitter APIs.