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Eng."],"published-print":{"date-parts":[[2022,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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 globalization, CLSA has attracted much attention in the field of sentiment analysis and the last decade has seen a surge of researches in this area. Numerous methods, datasets and evaluation metrics have been proposed in the literature, raising the need for a comprehensive and updated survey. This paper fills the gap by reviewing the state-of-the-art CLSA approaches from 2004 to the present. This paper teases out the research context of cross-lingual sentiment analysis and elaborates the following methods in detail: (1) The early main methods of CLSA, including those based on Machine Translation and its improved variants, parallel corpora or bilingual sentiment lexicon; (2) CLSA based on cross-lingual word embedding; (3) CLSA based on multi-BERT and other pre-trained models. We further analyze their main ideas, methodologies, shortcomings, etc., and attempt to reach a conclusion on the coverage of languages, datasets and their performance. Finally, we look into the future development of CLSA and the challenges facing the research area.<\/jats:p>","DOI":"10.1007\/s41019-022-00187-3","type":"journal-article","created":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T12:03:14Z","timestamp":1654689794000},"page":"279-299","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["A Survey of Cross-lingual Sentiment Analysis: Methodologies, Models and Evaluations"],"prefix":"10.1007","volume":"7","author":[{"given":"Yuemei","family":"Xu","sequence":"first","affiliation":[]},{"given":"Han","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Wanze","family":"Du","sequence":"additional","affiliation":[]},{"given":"Wenqing","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,8]]},"reference":[{"key":"187_CR1","unstructured":"Yan Q, David A, Evans JG, Gergory G (2004) Mining multi-lingual options through classification and translation. 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