An open-source toolkit for analyzing line-oriented JSON Twitter archives with Apache Spark.
-
Updated
Apr 21, 2023 - Scala
An open-source toolkit for analyzing line-oriented JSON Twitter archives with Apache Spark.
Simple REST API to shout out tweets
Apache Spark application for analyzing tweets posted.
Repository for TeamACCE to analyze Twitter data to answer questions related to emoji usaged. Part of Revature's USF Big Data batch.
Building a system with Kafka, that pulls live Twitter tweets from it's online API, parses them, and outputs the number of hashtags in each tweet. the system uses microservices written in Scala, that communicate through a Kafka topic.
Work with a set of Tweets about US airlines and examine their sentiment polarity.The aim is to learn to classify Tweets as either “positive”, “neutral”, or “negative” by using two classifiers and pipelines for pre-processing and model building.
SPARK jobs both in batch processing and streaming.
Sentiment Analysis project on tweets.
Some Data Science tools to obtain information from a Dataset of Tweets
Search tweets for GitHub repositories
Spark with probabilistic algortighmts - Bloom filter, HLL, QTree and Count-min sketch
A content moderating system for social media feeds
Real-time Tweet Sentiment Analysis using Spark, Stanford NLP, ElasticSearch and Kibana
Twitter Streaming API Example with Kafka Streams in Scala
Add a description, image, and links to the tweets topic page so that developers can more easily learn about it.
To associate your repository with the tweets topic, visit your repo's landing page and select "manage topics."