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Diachronic-Semantic-Shift-Mental-Health-Terms-Twitter

imported

software/diachronic-semantic-shift-mental-health-terms-twitter

Quantifying lexical semantic change of 'toxic', 'healing', 'burnout' on Twitter via temporal Word2Vec + Procrustes alignment | displacement scores, nearest-neighbor shift, t-SNE visualization

Machine-generated from the listed sources and not yet reviewed by a human.

Diachronic-Semantic-Shift-Mental-Health-Terms-Twitter project image
GitHub preview card for DapCodes/Diachronic-Semantic-Shift-Mental-Health-Terms-Twitter. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/DapCodes/Diachronic-Semantic-Shift-Mental-Health-Terms-Twitter
Documentation
unknown
Tags
diachronic · diachronic-embeddings · mental-health · nlp · procrustes · python · semantic-shift · text-analysis · twitter · word-embeddings · word2vec
Regulatory
unknown
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sources
  1. api.github.com/repos/DapCodes/Diachronic-Semantic-Shift-Mental-Health-Terms-Twitter
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-30, 6 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/34.json→ .entries["diachronic-semantic-shift-mental-health-terms-twitter"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.