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

Uloženo v:

Podrobná bibliografie
Vydáno v:	Data Science and Engineering Ročník 7; číslo 3; s. 279 - 299
Hlavní autoři:	Xu, Yuemei, Cao, Han, Du, Wanze, Wang, Wenqing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature Singapore 01.09.2022 Springer Springer Nature B.V
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!