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Quickly apply Datastreamer Entity Recognition to Socialgist News with a Datstreamer Pipeline.
Quickly connect Datastreamer Entity Recognition and Socialgist News with a Datstreamer Pipeline.
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This Named Entity Recognition classifier helps reduce the noise in the query results. It extracts the named entity from a short-form English content. The output would cover three classes of entities: Persons, Organization, and Location.
Drawing from over 1,000 Chinese news sources and over 25,000 English news sources, Socialgist provides a comprehensive overview of current events, editorial opinions, and journalistic analysis. This dataset is invaluable for understanding media narratives, tracking news cycles, and analyzing the impact of current events on public discourse and sentiment across various regions and topics.
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