Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract Yahoo Finance business overviews using keywords. Returns matching business overviews that include company summary, stock tickers, company stock's closing price of the dat and previous day, range of stock prices during the current trading day, range of stock prices over the the past week and more.
Detect insults (profane or not), hate speech, suicidal ideation, attempts to establish external contact, allegations, and more. Counter algospeak and slang.
Automatic detection of problematic content in text, including attempts to lure users off the platform and establish content, profanities, mental issues and suicidal ideation, and more.
Built from scratch for social media content, Tisane handles misspellings, algospeak, bad grammar, jargon. It operates with social content is a manner that is more granular than any other NLP platform.
Tisane problematic content detection supports 35+ languages, including slang and obfuscated text (adversarial text manipulation).
How Datastreamer works
Quickly enrich Bright Data Yahoo Finance with Tisane Problematic Content Detection with a Datstreamer Pipeline.
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
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
