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Categorize text into predefined media topics. This classifier can process text from various sources such as news articles, blogs, and social media posts. It helps identify the dominant theme of the content making it easier to organize and analyze large volumes of data. It also support multiple languages, making it adaptable for global markets, and can operate in real-time or batch-processing scenarios.
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 Category 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.
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.
Add Datastreamer components to your data stack and explore its full capabilities
