#textclassification
Live, measured metrics for the hashtag #textclassification from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #textclassification
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 2026-09-30 13:07 UTC2 uses by 2 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 2026-09-30 13:07 UTCNo related tags with measured usage found for #textclassification.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-30 13:07 UTCEverything below is measured over the latest 15 public posts (spanning ~33641 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (14) · German (1)
Avg boosts / post: 0.3
Top of the latest posts
Hi everybody, #introduction I'm a PhD student at #AIFB/KIT and part of the #FIZKarlsruhe @fizise research group. On this account you will find mostly toots about my research in the areas of #TextClassification, #ZSL, #ZSTC and #KnowledgeGra
Language models for text classification: From bag-of-words to Jev https://magazine.sebastianraschka.com/p/classifier-history-and-jev Comments: https://news.ycombinator.com/item?id=49891203 #HackerNews #languagemodels #textclassification #ma
Sebastian Raschka (@rasbt) 텍스트 분류용 언어 모델을 다루는 대형 실습형 가이드 공개. RNN, CNN, Transformer 기반 분류 모델과 확률 보정(calibration)을 시각적으로 설명하고, 정확도와 효율성을 비교하는 실험을 포함한다. LLM 이전/경량 텍스트 분류 모델의 선택 및 평가·보정 방법을 검토하려는 개발자에게 유용하다. https://x.com/rasbt/status/210492391
#textclassification across platforms
every network with a public tag surfaceFollow #textclassification 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/textclassification