We’re always happy with any other questions you might have. Send us an email at [email protected]
Apply Datastreamer Sentiment Classifier to Twingly Blogs
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Sentiment Classifier
Detect sentiment in content, detecting and classifying into positive, neutral, or negative.
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
Quickly apply Datastreamer Sentiment Classifier to Twingly Blogs 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 Sentiment Classifier with an Operation
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Datastreamer Sentiment Classifier and Twingly Blogs
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.