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.
Extract data about posts, profiles, likes, and more from X(Twitter).
How Datastreamer works
Quickly apply Tisane Sentiment Analysis to Bright Data X(Twitter) 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.
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Add Datastreamer components to your data stack and explore its full capabilities
