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Word embedding for social sciences: An interdisciplinary survey
A Matsui, E Ferrara - PeerJ Computer Science, 2024 - peerj.com
Abstract Machine learning models learn low-dimensional representations from complex high-
dimensional data. Not only computer science but also social science has benefited from the …
dimensional data. Not only computer science but also social science has benefited from the …
The lexical context in a style analysis: A word embeddings approach
This is a pilot study of usability of Context Specificity measure for stylometric purposes.
Specifically, the word embedding Word2vec approach based on measuring lexical context …
Specifically, the word embedding Word2vec approach based on measuring lexical context …
[PDF][PDF] Context Specificity of Lemma. Diachronic Analysis
This study deals with the recently proposed concept of so-called Context Specificity of
Lemma (CSL). CSL is based on the word embedding technique called Word2vec which …
Lemma (CSL). CSL is based on the word embedding technique called Word2vec which …
[PDF][PDF] Dynamics of language in social emergency: investigating COVID-19 hot words on Weibo.
Y Zhou, R Li, G Chen, H Liu - Glottometrics, 2022 - researchgate.net
Drawing on word embeddings techniques and tracking the frequency and semantic change
of hot words on Sina Weibo during the COVID-19 pandemic, this study investigates how …
of hot words on Sina Weibo during the COVID-19 pandemic, this study investigates how …
[PDF][PDF] Context Specificity of Lemma. Diachronic Analysis
X Chen, K Pelegrinová - researchgate.net
This study deals with the recently proposed concept of so-called Context Specificity of
Lemma (CSL). CSL is based on the word embedding technique called Word2vec which …
Lemma (CSL). CSL is based on the word embedding technique called Word2vec which …