… sentiment analysis and the ability to transfer sentiment recognition between multilingual
language … proposed with the help of an Italian language dataset built specifically for the purpose. …

… 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 with Polish as a source language…

… , we consider the special setting of relying on transfer learning via the Amazon embeddings,
but without allowing the model to adjust them during training (denoted as SA in Table 4). …

… transfer approaches for building sentiment analysis systems without having gold labeled data
in the target language. … using only English as the source language and a small number of …

… year and demonstrated that pre-training multilingual language models led to significant
performance gained for a wide range of cross-lingual transfer tasks. Compared with XLM and …

… apply instance-level transfer learning technique to cross lingual opinion analysis by using
the … target language. Firstly, Transfer AdaBoost algorithm (TrAdaBoost) is applied as the base …

… effects of both for the task of sentiment analysis. We work with two … -specific pre-training and
cross-lingual transfer and find that task… cross-lingual transfer from multilingual BERT models. …

… 2019), which is naturally applicable for sentiment analysis. Traditional supervised methods
utilize cross-lingual tools such as machine translation systems and train a classifier on the …

… Recently, many efforts have been initiated on learning feature representations with DNNs
in the context of crosslingual sentiment analysis [21, 17, 7, 22, 53, 40, 56, 18]. First, they pre-…

… on different types of crosslingual embeddings: alignment of … multilingual contextual
models. We also discuss related work on Twitter sentiment analysis and cross-lingual transfer of …