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Using DJL.AI For Deep Learning Based Sentiment Analysis in NiFi DataFlow

Using DJL.AI For Deep Learning Based Sentiment Analysis in NiFi DataFlow 


I will be talking about this processor at Apache Con @ Home 2020 in my "Apache Deep Learning 301" talk with Dr. Ian Brooks.

Sometimes you want your Deep Learning Easy and in Java, so let's do that with DJL in a custom Apache NiFi processor running in CDP Data Hubs.

Grab the Source:

Grab the Recent Release NAR to install to your NiFi lib directories:

Example Run

No value set
No value set
No value set
No value set
[class: "Negative", probability: 0.99440, class: "Positive", probability: 0.00559]

Demo Data Source


Deep Learning Note:   

The pretrained model is DistilBERT model trained by HuggingFace using PyTorch.


Make sure you have 1-2 GB of RAM extra for your NiFi instance for running each DJL processor.   If you have a lot of text, run more nodes and/or RAM.   Make sure you have at least 8 cores per Deep Learning process.   I prefer JDK 11 for this.

See Also:

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