Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

Enrich Socialgist TikTok with Social Voice Toxicity Classifier

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Socialgist TikTok

A targeted TikTok crawling product focused on collecting user and hashtag pages. With the proprietary discovery algorithm, Socialgist automates the tracking of additional pages. Video transcription is also available.

About Social Voice Toxicity Classifier

Determines metrics on different toxic elements which may be present in the transcription.

How Datastreamer works

Quickly enrich Socialgist TikTok with Social Voice Toxicity Classifier with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Socialgist TikTok

Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.

Step 2

Add Social Voice Toxicity Classifier to enrich

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  Socialgist TikTok and Social Voice Toxicity Classifier

Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!