Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
Weibo content provided by Socialgist. Weibo, often referred to as the "Chinese Twitter", is a leading social media platform in China, launched by Sina Corporation in 2009. It provides insights into consumer behavior, sentiment, and trends within the Chinese market.
How Datastreamer works
Quickly apply Datastreamer Emotion Detection Classifier to Socialgist Weibo with a Datstreamer Pipeline.
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Add Datastreamer components to your data stack and explore its full capabilities
