A Survey of Cross-lingual Sentiment Analysis: Methodologies, Models and Evaluations

Cross-lingual sentiment analysis (CLSA) leverages one or several source languages to help the low-resource languages to perform sentiment analysis. Therefore, the problem of lack of annotated corpora in many non-English languages can be alleviated. Along with the development of economic globalizatio...

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Veröffentlicht in:	Data Science and Engineering Jg. 7; H. 3; S. 279 - 299
Hauptverfasser:	Xu, Yuemei, Cao, Han, Du, Wanze, Wang, Wenqing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.09.2022 Springer Springer Nature B.V
Schlagworte:	Algorithm Analysis and Problem Complexity Artificial Intelligence Chemistry and Earth Sciences Computer Science Data mining Data Mining and Knowledge Discovery Database Management Datasets Global economy Globalization Languages Machine translation Non-English languages Physics Sentiment analysis State-of-the-art reviews Statistics for Engineering Survey Paper Surveys Systems and Data Security United Kingdom Japan China Bilingual word embedding Cross-lingual Sentiment analysis
ISSN:	2364-1185, 2364-1541
Online-Zugang:	Volltext
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