KaleidoscopeIM / kafka-Spark-Node-Realtime-Twitter-Sentiment-Analysis Public

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This is coursework project. It aims to design an app to fetch twitter live data into Kafka and Spark and then perform sentiment analysis along with to display live on a node server app.

Apache-2.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
.github/workflows		.github/workflows
.vscode		.vscode
kafka_spark_stream		kafka_spark_stream
node_server		node_server
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
Twitter Data analysis using Spark Streaming and Kafka.docx		Twitter Data analysis using Spark Streaming and Kafka.docx
requirement.txt		requirement.txt
screen1.png		screen1.png
screen2.png		screen2.png
start_app.py		start_app.py

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Developers

Gautam Saini (https://github.com/KaleidoscopeIM)
Shilpi Sirohi (https://github.com/shilpisirohi12)

Installation

Install zookeeper server - apache-zookeeper-3.6.2-bin
kafka - kafka_2.12-2.6.0
hadoop - hadoop-3.2.1
python 3.7.0
node npm
Install python packages from ./kafka_spark_stream/requirements.txt
Install node modules from ./node_server (run command : 'npm install' )

Run application

$ cd 'source code home' 
$ python start_app.py

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This is coursework project. It aims to design an app to fetch twitter live data into Kafka and Spark and then perform sentiment analysis along with to display live on a node server app.

Apache-2.0 license

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