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Streaming and real-time analysis of Twitter data through an AWS data stream

License: MIT License

Python 100.00%
aws-lambda aws aws-elasticsearch kibana aws-firehose tweepy twitter comprehend twitter-analysis elasticsearch aws-kinesis-firehose kibana-dashboard data-pipeline

twitter-analysis's Introduction

Twitter Analysis: Creating a real-time data pipeline to analyze tweets

This project streams real-time data from Twitter, performs natural language processing on the contents of the tweet, and displays the results in a Kibana dashboard. The Twitter data is filtered by a query word and processed to determine sentiment of the tweet.

What I Learned

  • AWS services: EC2, Lambda, Comprehend, Kinesis Firehose
  • Other tools: Elasticsearch and Kibana
  • How to connect these services on AWS
  • API Integration with Tweepy

Design

Design

Technology

  • AWS EC2: Web service that provides cloud computing
  • AWS Kinesis Firehose: Prepares and loads real-time data streams
  • AWS Lambda: Serverless compute
  • AWS Comprehend: Natural Language Processing
  • Amazon Elasticsearch service: Fully managed service that deploys, secures, and runs Elasticsearch
  • Kibana: Open source analytics and visualizations platform designed to work with Elasticsearch

Kibana Examples

Kibana Dashboard

Kibana Dashboard

Author

twitter-analysis's People

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