#sentimentanalysis
Live, measured metrics for the hashtag #sentimentanalysis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #sentimentanalysis
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 2026-09-26 03:19 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 2026-09-26 03:19 UTCNo related tags with measured usage found for #sentimentanalysis.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-26 03:19 UTCEverything below is measured over the latest 40 public posts (spanning ~12039 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (38) · German (1) · Swedish (1)
Avg boosts / post: 0.6
Top of the latest posts
Microsoft’s “Microslop” Discord Ban Backfires: What AI Builders Can Learn from This Epic Moderation Fail 2,644 words, 14 minutes read time. The “Microslop” Catalyst: When Automated Moderation Becomes a PR Liability The recent escalation on
Based on an analysis of #DHd conference abstracts, I trace the evolution of #CLS methods from 2014 to 2025: from omnipresent #NetworkAnalysis and #Annotation, to the first appearance of #TopicModeling and #SentimentAnalysis, to #DeepLearnin
@politicalgadgets I think that it would be great and lend more credibility to the *bot* and its #GenAI *Sentiment Analysis* if it was not *Self-referencing*. Please fix this *Error* in processing by removing all self-references from the out
#sentimentanalysis across platforms
every network with a public tag surfaceFollow #sentimentanalysis 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/sentimentanalysis