Analysis of lexical semantic changes in corpora with the diachronic engine
| Autor: | Marco de Gemmis, Giovanni Semeraro, Pierpaolo Basile, Pierluigi Cassotti |
|---|---|
| Předmět: |
Twitter during Pandemic
Automatic Sarcasm Detection Linguistic Ostracism in Social Networks Computer science AriEmozione COVID-19 Linguistics LAN000000 Quantitative Linguistic Investigations Fine-grained sentiment analysis Online Hate Speech Computational Linguistics DistilBERT Depression from Social Media Distributional Semantics Gender Bias CBX AEREST E3C Project Multilingual NLU TrAVaSI |
| Zdroj: | Scopus-Elsevier CLiC-it |
| Popis: | With the growing availability of digitized diachronic corpora, the need for tools capable of taking into account the diachronic component of corpora becomes ever more pressing. Recent works on diachronic embeddings show that computational approaches to the diachronic analysis of language seem to be promising, but they are not user friendly for people without a technical background. This paper presents the Diachronic Engine, a system for the diachronic analysis of corpora lexical features. Diachronic Engine computes word frequency, concordances and collocations taking into account the temporal dimension. It is also able to compute temporal word embeddings and time-series that can be exploited for lexical semantic change detection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|