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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.
Covering more than 200 popular Chinese message boards and forums, including baidu.com, hupu.com, and zhihu.com, and 3,000 English message boards and forums, Socialgist offers an unrivalled view into real-time discussions and community sentiments. This message boards dataset is goldmine for understanding consumer behaviour, tracking viral topics, and gaining insights into niche communities and broader public opinion.
How Datastreamer works
Quickly apply Datastreamer Emotion Detection Classifier to Socialgist Boards with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
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.
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.
Add Datastreamer components to your data stack and explore its full capabilities
