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

• Published in: Data Science and Engineering Vol. 7; no. 3; pp. 279 - 299
• Main Authors: Xu, Yuemei, Cao, Han, Du, Wanze, Wang, Wenqing
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.09.2022; Springer; Springer Nature B.V
• Subjects: 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

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...