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Open Measures collection on OK(Odnoklassniki) began by aggregating around 5,000 OK group URLs that appeared across the existing collections and fed these into the crawler. The crawler then spiders across these groups by collecting posts, comments and group members.
Detect the user sentiment and cause of sentiment within content. 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.
How Datastreamer works
Quickly enrich Open Measures Odnoklassniki with Datastreamer User Sentiment Classifier with a Datstreamer Pipeline.
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
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