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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.
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 User Sentiment Classifier to Socialgist Boards with a Datstreamer Pipeline.
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.
Add Datastreamer components to your data stack and explore its full capabilities
