#textannotation
Live, measured metrics for the hashtag #textannotation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #textannotation
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-27 13:00 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-07-27 13:00 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-27 13:00 UTCEverything below is measured over the latest 14 public posts (spanning ~30043 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (12) · German (2)
Avg boosts / post: 2.2
Top of the latest posts
Interesting but not surprising at all, this is a typical task you would want to use these models for: "ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks" , it could give an enormous boost to annotation of data, which can be used f
Top 10 Text Annotation Companies to Outsource for NLP Looking to improve NLP and AI model performance? Explore a curated guide to top text annotation companies offering reliable text annotation services, including sentiment analysis, entity
AI Language Insights Using Text Labeling Methods Understanding language patterns requires structured datasets. Annotation defines context and relationships within text. Businesses use text labeling services to improve NLP learning and autom
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/textannotation