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Apply Datastreamer Entity Recognition to Socialgist Boards
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Entity Recognition
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.
About Socialgist Boards
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.
Quickly apply Datastreamer Entity Recognition to Socialgist Boards with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Boards
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Step 2
Add Datastreamer Entity Recognition with an Operation
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and Socialgist Boards
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.