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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Data Science and Engineering Ročník 7; číslo 3; s. 279 - 299
Hlavní autori:	Xu, Yuemei, Cao, Han, Du, Wanze, Wang, Wenqing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Nature Singapore 01.09.2022 Springer Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!