#nlp4dh
Live, measured metrics for the hashtag #nlp4dh from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #nlp4dh
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 21:33 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 21:33 UTCNo related tags with measured usage found for #nlp4dh.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 21:33 UTCEverything below is measured over the latest 3 public posts (spanning ~21106 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 5
Top of the latest posts
Small new paper ! 🎉 Genre is a problematic notion in CLS: bibliographically unstable, heterogeneously annotated, yet central to many experiments Our new #NLP4DH paper (ACL 2026) proposes a method to retrieve genre tags automatically in a h
The 4th International Conference on Natural Language Processing for Digital Humanities (NLP4DH) will be co-located with EMNLP in Miami, USA, on November 15-16, 2024. Topics include text analysis, dataset creation, cultural heritage collecti
Glad to see that our #NLP4DH paper “The Great Digital Humanities Disconnect: The Failure of DH Publishing” (with Emily Öhman and Mika Hämäläinen) is now available in the ACL Anthology: https://aclanthology.org/2023.nlp4dh-1.16 #DigitalHuman
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/nlp4dh