#wordnet
Live, measured metrics for the hashtag #wordnet from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #wordnet
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.online (Mastodon public tags API) · fetched 2026-10-17 03:14 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.online (Mastodon public search API) · fetched 2026-10-17 03:14 UTCNo related tags with measured usage found for #wordnet.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-17 03:14 UTCEverything below is measured over the latest 14 public posts (spanning ~40675 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (12) · Russian (1)
Avg boosts / post: 0.9
Top of the latest posts
I had not looked at it for a while. Fun code, pulling dictionary definitions from #WordNet based on current news articles. I see I had an option built into it to haul relevant quotes out of classic novels as well. Might turn that on later.
I had a lot of fun implementing a SPARQL editor for DanNet. During this process I also wrote a ton of new documentation, including a SPARQL tutorial that uses the new editor for its interactive examples. The idea is, of course, to make the
Весь такой перцептивный. Сенсорная атмосфера в прозе. Пример анализа художественного текста на Python Анализ глаголов восприятия в прозе Паустовского с помощью Python: подход цифрового гуманитария для NLP-разработчиков. https://habr.com/ru/
What “wordnet” means
WikipediaWordNet is a lexical database of semantic relations between words that links words into semantic relations including synonyms, hyponyms, and meronyms. The synonyms are grouped into synsets with short definitions and usage examples. It can thus be seen as a combination and extension of a dictionary and thesaurus. Its primary use is in automatic text analysis and artificial intelligence applications. It was first created in the English language and the English WordNet database and software tools h
“WordNet” on Wikipedia (CC BY-SA) →#wordnet across platforms
every network with a public tag surfaceFollow #wordnet 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/wordnet