We’re always happy with any other questions you might have. Send us an email at [email protected]
Enrich Twingly Blogs with Datastreamer Emotion Detection Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Twingly Blogs
Twingly indexes 1 million blog posts per day, from all over the world, and make them available. Twingly adds 4,000 new active blogs every day, and if that is not enough, you can easily add more yourself, and we will cover them for you
About Datastreamer Emotion Detection Classifier
Detect emotion within content, such as fear, happiness, sadness, disgust, etc. It is able to process content in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Quickly enrich Twingly Blogs with Datastreamer Emotion Detection Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly Blogs
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Step 2
Add Datastreamer Emotion Detection Classifier to enrich
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Step 3
That's it! You have just connected Twingly Blogs and Datastreamer Emotion Detection Classifier
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.