Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Sentiment analysis answers the question whether the author is positive or negative about something. Tisane sentiment analysis supports 35+ languages, including slang and obfuscated text.
Collect and extract YouTube video and profile search results using keywords, and YouTube comments using URLs. Further refine the video and profile searches by start date and end date using additional parameters.
How Datastreamer works
Quickly apply Tisane Sentiment Analysis to Bright Data YouTube with a Datstreamer Pipeline.
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.
Add Datastreamer components to your data stack and explore its full capabilities
