🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.

Twitter sentiment analysis using Spark and Stanford CoreNLP and visualization using elasticsearch and kibana

Source code for Twitter's Recommendation Algorithm.

Twitter Sentimental Analysis for Product Analysis using Spark Streaming, Mongodb

A cutting-edge big data initiative aimed at creating a real-time data pipeline to analyze the popularity and sentiments of trending topics on Twitter.

Large-scale semi-supervised annotation (self-learning, co-training) for text (code for papers @ KDD17, @ KAIS19); Repository maintained by Vasileios Iosifidis.

Using Spark Streaming along with Twitter API to extract continuous tweets, filter them based on keyword IphoneX, and then analyze their sentiment

sentiment analysis nlpcore

Built an emerging topic detector to analyse sentiment of tweets under the emerging topic using Apache Spark and Twitter API.

Sentiplus - Classificatore per individuare il sentimento dei tweet