{"repo":"drisskhattabi6/Real-Time-Twitter-Sentiment-Analysis","free":true,"listed":false,"github":"https://github.com/drisskhattabi6/Real-Time-Twitter-Sentiment-Analysis","clone":"git clone https://github.com/drisskhattabi6/Real-Time-Twitter-Sentiment-Analysis.git","description":"This repo contains Big Data Project, its about \"Real Time Twitter Sentiment Analysis via Kafka, Spark Streaming, MongoDB and Django Dashboard\".","language":"Jupyter Notebook","stars":47,"topics":["big-data","big-data-projects","django","django-dashboard","docker","kafka","kafka-producer","mongodb","pyspark","real-time-processing"],"license":null,"category":"data-pipelines","readme_excerpt":"Big Data Project: Real-Time Twitter Sentiment Analysis Using Kafka, Spark (MLLib & Streaming), MongoDB and Django. Overview This repository contains a Big Data project focused on real-time sentiment analysis of Twitter data (classification of tweets). The project leverages various technologies to collect, process, analyze, and visualize sentiment data from tweets in real-time. Project Architecture The project is built using the following components: - Apache Kafka : Used for real-time data ingestion from Twitter DataSet. - Spark Streaming : Processes the streaming data from Kafka to perform sentiment analysis. - MongoDB : Stores the processed sentiment data. - Django : Serves as the web framework for building a real-time dashboard to visualize the sentiment analysis results. - chart.js & matplotlib : for plotting. - This is the project plan : Features - Real-time Data Ingestion : Collects live tweets using Kafka from the Twitter DataSet. - Stream Processing : Utilizes Spark Streaming to process and analyze the data in real-time. - Sentiment Analysis : Classifies tweets into different sentiment categories (positive, negative, neutral) using natural language processing (NLP) techniques. - Data Storage : Stores the sentiment analysis results in MongoDB for persistence. - Visualization : Provides a real-time dashboard built with Django to visualize the sentiment trends and insights. Data description: In This Project I'm using a Dataset (twitter training.csv and twitter validation","default_branch":null,"files":null,"tree":[],"storefront":"/r/drisskhattabi6","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/drisskhattabi6/Real-Time-Twitter-Sentiment-Analysis/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}