#distributionalsemantics
Live, measured metrics for the hashtag #distributionalsemantics from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #distributionalsemantics
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 2026-11-04 10:34 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 2026-11-04 10:34 UTCNo related tags with measured usage found for #distributionalsemantics.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-04 10:34 UTCEverything below is measured over the latest 9 public posts (spanning ~16448 hours).
Posting hours (UTC)
Languages: English (7) · German (2)
Avg boosts / post: 2.4
Top of the latest posts
My book review of "Lexical variation and change" by Geeraerts et al. is out on linguist list, check it out here: https://linguistlist.org/issues/35-3402/ #linguistics #distributionalSemantics
In 2013, Mikolov et al. (from Google) published word2vec, a neural network based framework to learn distributed representations of words as dense vectors in continuous space, aka word embeddings. T. Mikolov et al. (2013). Efficient Estimati
Besides Wittgenstein, we also quote linguist John Rupert Firth (1890–1960) with "You shall know a word by the company it keeps!" when introducing the principles of distributional semantics as the foundation for word embeddings and large lan
#distributionalsemantics across platforms
every network with a public tag surfaceFollow #distributionalsemantics 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/distributionalsemantics