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.
Bright Data TikTokBright Data Amazon ReviewsBright Data TrustpilotBright Data Yahoo FinanceBright Data TrustRadiusSocialgist Tencent
Vital4 Adverse Media
Bright Data Google Shopping ProductsBright Data eBay ListingsBright Data LinkedInBright Data G2 ReviewsSocialgist NewsWebz Blogs
Google Cloud Storage
Twingly Blogs
Databricks
Data365 X(Twitter)
Twingly ReviewsBright Data PinterestVital4 Watchlist and Sanction ListingsBright Data Github CodeBright Data Indeed Company OverviewsBright Data Amazon ProductsWebSightLine Instagram
Vetric X(Twitter)
Bright Data Etsy ProductsVital4 Criminal Record DataWebz ForumsBright Data Glassdoor Company OverviewsData365 InstagramBright Data Shein ProductsData365 TikTokBright Data InstagramBright Data Indeed Job ListingsSocialgist TikTokSocialgist QuoraSocialgist ReviewsWebhook
Pubsub
Bright Data YouTubeSocialgist BoardsOpoint News
Bright Data RedditWebz NewsDarkOwl Search API
Socialgist VideosTwingly ForumsWebz ReviewsVetric InstagramSocialgist BlogsBright Data Glassdoor Job ListingsAzure Blob Storage
Webz Dark WebTwingly VKVital4 Politically Exposed Persons
Bright Data CrunchbaseData365 Facebook dataBright Data WalmartWebSightLine Threads
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
