Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive Review
Due to the advent and increase in the popularity of the Internet, people have been producing
and disseminating textual data in several ways, such as reviews, social media posts, and …
and disseminating textual data in several ways, such as reviews, social media posts, and …
Exploiting the web for semantic change detection
P Basile, B McGillivray - … Science: 21st International Conference, DS 2018 …, 2018 - Springer
Detecting significant linguistic shifts in the meaning and usage of words has gained more
attention over the last few years. Linguistic shifts are especially prevalent on the Internet …
attention over the last few years. Linguistic shifts are especially prevalent on the Internet …
Exploiting the Web for Semantic Change Detection
B McGillivray, P Basile - 2018 - repository.cam.ac.uk
Detecting significant linguistic shifts in the meaning and usage of words has gained more
attention over the last few years. Linguis-tic shifts are especially prevalent on the Internet …
attention over the last few years. Linguis-tic shifts are especially prevalent on the Internet …
Measuring diachronic sense change: New models and Monte Carlo methods for Bayesian inference
S Zafar, GK Nicholls - Journal of the Royal Statistical Society …, 2022 - academic.oup.com
In a bag-of-words model, the of a word with multiple meanings, for example 'bank'(used
either in a river-bank or an institution sense), are represented as probability distributions …
either in a river-bank or an institution sense), are represented as probability distributions …
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P Basile¹, B McGillivray - … , DS 2018, Limassol, Cyprus, October 29 …, 2018 - books.google.com
Detecting significant linguistic shifts in the meaning and usage of words has gained more
attention over the last few years. Linguistic shifts are especially prevalent on the Internet …
attention over the last few years. Linguistic shifts are especially prevalent on the Internet …