#textAnalysis
Live, measured metrics for the hashtag #textAnalysis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #textanalysis
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 · mas.to (Mastodon public tags API) · fetched 2026-11-09 00:28 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-11-09 00:28 UTCNo related tags with measured usage found for #textanalysis.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-09 00:28 UTCEverything below is measured over the latest 40 public posts (spanning ~22348 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (37) · German (2)
Avg boosts / post: 1.4
Top of the latest posts
🆕 **PyDistintoX 0.3.1 is here!** PyDistintoX is a Python tool for contrastive text analysis that compares two corpora using 16 statistical measures (TF-IDF, Zeta, Chi², LLR, etc.) and visualises lexical features – available as a CLI and as
Editor & Publisher: AI breathes new life into digital archives. “After decades working as a journalist and transformational executive in newsrooms, [Eric] Johnston ventured into the world of artificial intelligence (AI). He co-founded Liqui
New to me, found on Bluesky, I think it launched about a year ago? Words of Bluesky. “Look up an account to find the accounts that write about the same things, or search for words to find who uses them far more than most.” I looked up “data
#textanalysis across platforms
every network with a public tag surfaceFollow #textanalysis straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/textanalysis