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Enrich Socialgist Reviews with Social Voice Brand Safety Model (GARM)
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Socialgist Reviews
Covering over 50 Chinese review platforms and over 250 English review platforms, this dataset offers insights into customer satisfaction, product feedback, and consumer trends. Whether it’s understanding how products are received, tracking competitor performance, or identifying areas for improvement, Socialgist Reviews dataset provides the real-world voice of the customer, crucial for market analysis, product development, and brand management.
About Social Voice Brand Safety Model (GARM)
Analyzes different risks to brand safety according to GARM categorizations.
Quickly enrich Socialgist Reviews with Social Voice Brand Safety Model (GARM) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Reviews
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.
Step 2
Add Social Voice Brand Safety Model (GARM) to enrich
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 Socialgist Reviews and Social Voice Brand Safety Model (GARM)
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.