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Apply Datastreamer Entity Recognition to The Social Proxy SERP Datasets
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 The Social Proxy SERP Datasets
Scrape Search Engine Result Pages. Obtain real-time information from leading search engines such as Google, Baidu, Bing, and Yandex.
Quickly apply Datastreamer Entity Recognition to The Social Proxy SERP Datasets with a Datstreamer Pipeline.
Step 1
Start your Pipeline with The Social Proxy SERP Datasets
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
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Datastreamer Entity Recognition and The Social Proxy SERP Datasets
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.