Twitter Streaming API Example with Kafka Streams in Scala
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Updated
Aug 22, 2016 - Scala
Twitter Streaming API Example with Kafka Streams in Scala
An open-source toolkit for analyzing line-oriented JSON Twitter archives with Apache Spark.
An Apache Spark utility for pulling Tweets from Gnip's PowerTrack in realtime
Simple REST API to shout out tweets
Spark with probabilistic algortighmts - Bloom filter, HLL, QTree and Count-min sketch
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.
A content moderating system for social media feeds
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.
SPARK jobs both in batch processing and streaming.
Real-time Tweet Sentiment Analysis using Spark, Stanford NLP, ElasticSearch and Kibana
Search tweets for GitHub repositories
Some Data Science tools to obtain information from a Dataset of Tweets
Sentiment Analysis project on tweets.
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.
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."