… As annotated data are hardly available in Bengali, and no sophisticated tools are available
for sentiment analysis in unlabeled Bengali text, we explore the adaptation of resources and …

… This paper investigates how to effectively do cross lingual text … -topics, through which cross
lingual text similarity can be easily … cross lingual applications, including cross lingual text …

“Opinion analysis, also called opinion recognition, is a field of research that analyses people's
opinions, attitudes, evaluations, and feelings toward entities and their attributes expressed …

… Comparison Methods This study focus on the approaches improving the opinion analysis by
using cross lingual examples, while the improving classifier target language is not our major …

… cross-lingual sentiment classification tasks of Amazon product reviews. Our experimental
results demonstrate the efficacy of the proposed cross-lingual … Crosslingual sentiment analysis …

… in cross-lingual sentiment analysis (CLSA). This work proposes an Unsupervised Cross-lingual
Sentiment … and sentiment gap between two languages. UCSentiE leverages the priori …

… They proved that in language sentiment analysis gives better results than other approaches.
In [12], the authors proposed a framework for cross-lingual sentiment analysis using …

… to reduce the effect of data sparsity in cross-lingual setup as well. An overall schema of
the … cross-lingual setups. Figures 1a and 1b show the training architectures for the cross-lingual …

… Third, we present the detail of zero-shot cross-lingual transfer learning approach based
on the based models of five languages. Finally, we explain the cross-lingual joint training …

… Empirical evaluation on two popular sentiment analysis benchmarks shows that our method
… settings, including cross-domain and cross-lingual sentiment adaptation. We have also pro…