Datastreamer lets you connect Datastreamer Emotion Detection Classifier with thousands of the most popular capabilities, so you can accelerate working with web data and focus on your product – no code required.
Open Measures Truth Social
Twingly Blogs
WebSightLine Threads
Socialgist Tencent
Socialgist BoardsBright Data RedditTwingly ForumsOpen Measures WimkinOpen Measures 4chanDarkOwl Search API
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Webz Dark Web
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Vital4 Watchlist and Sanction Listings
Socialgist DisqusVetric TikTokX (Twitter) Enterprise API
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Google Cloud Storage
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Working with web data is resource-intensive, slow, and distracting from your product. Companies using Datastreamer are able to accelerate how they work with web data, by using Pipelines to power their workflows.
Pipelines created in the Datastreamer platform simplify how you work with web data, making it faster to ingest, enrich, and deliver insights. Remove complexity from your web data workflows, reduce distractions from your products, and scale effortlessly.
Detect emotion within content, such as fear, happiness, sadness, disgust, etc. It is able to process content in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Add Datastreamer components to your data stack and explore its full capabilities
