… cross-lingual sentiment analysis … sentiment lexicon; (2) CLSA based on cross-lingual word
embedding; (3) CLSA based on multi-BERT and other pre-trained models. We further analyze …

… sentiment relationships between words in a cross-lingual setting. We apply these cross-lingual
sentiment … By effectively leveraging English sentiment knowledge without the need for …

… Thus, in a cross-lingual setting for a given target language, we map the words of the training
… Thus, in the context of using senses as features for cross-lingual sentiment analysis, we …

… sentiment classification, surpassing … cross-lingual sentiment analysis and provides valuable
insights into the strengths and limitations of cross-lingual approaches for sentiment analysis. …

… timent analysis methods excel at determining the sentiment polarity of … cross-lingual
propagation algorithm to overcome these challenges and enable improved deep sentiment analysis …

… in the field of sentiment analysis for Polish; • The recent state of the methods for a cross-lingual
text representation; • The results of the research related to cross-lingual transfer learning …

… Cross-Lingual Learning provides a mechanism to adapt NLP … An efficient cross-lingual
tool significantly reduces the cost … to develop a Cross Lingual Sentiment Analysis (CLSA) tool …

… is not the case for cross-lingual sentiment analysis. Cross-lingual Cross-Domain Results Table
… In this work we present an end-to-end approach for cross-lingual sentiment analysis. Our …

Over the years, the attention of the scientific world towards the techniques of sentiment
analysis has increased considerably, driven by industry. The arrival of the Google BERT …

… Traditional methods for sentiment analysis, when applied in a monolingual context, often …
This underscores the need for a more thorough exploration of cross-lingual sentiment analysis (…