🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
-
Updated
Apr 27, 2021 - Scala
🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
Twitter sentiment analysis using Spark and Stanford CoreNLP and visualization using elasticsearch and kibana
A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.
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
Large-scale semi-supervised annotation (self-learning, co-training) for text (code for papers @ KDD17, @ KAIS19); Repository maintained by Vasileios Iosifidis.
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.
Source code for Twitter's Recommendation Algorithm.
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
Add a description, image, and links to the twitter-sentiment-analysis topic page so that developers can more easily learn about it.
To associate your repository with the twitter-sentiment-analysis topic, visit your repo's landing page and select "manage topics."