… task of cross-lingual sentiment lexicon learning, which aims to automatically generate sentiment
… lexicon has attracted considerable attention in the community of sentiment analysis. The …

… The related work in this paper can be categorized to the cross-lingual sentiment analysis
research and the relation embedding learning research. The cross-lingual sentiment analysis …

… However, there is not much work on Cross-Lingual SA (CLSA), although it is beneficial
when … and analyze their pros and cons. Moreover, we summarize the valuable cross-lingual …

… learning approach to cross-lingual sentiment classification. … of them to perform cross-lingual
sentiment classification. As a … active learning to crosslingual sentiment classification. To the …

… In our future work, we intend to solve other challenges in aspect-level cross-lingual
sentiment analysis such as term-based cross-lingual sentiment classification and cross-lingual …

In this paper, we study the problem of using an annotated corpus in English for the same
natural language processing task in another language. While various machine translation …

… cross-lingual sentiment classification, in which the low-resource language does not have any
labels or parallel corpus. We propose an unsupervised cross-lingual … for sentiment analysis…

… expressed in products and movie reviews can roughly be divided into supervised and
unsupervised (or semi-supervised) sentiment analysis. Supervised techniques have been proved …

… cross-lingual query classification which extended the cross-lingual classification problem into
short text … In this paper, we focus on cross-lingual text classification and we also employ the …

… Despite the fact that sentiment analysis has received notable attention from the research …
on cross-lingual sentiment analysis. The difficulty of handling cross-lingual sentiment analysis …