SentimentClassifier

In this paper, we dedicate to the topic of aspect ranking, which aims to automatically identify important product aspects from online con- sumer reviews. The important aspects are identified according …...

AbstractDomain adaptation is an important technology to handle domain dependence problem in sentiment analysis field. Existing methods usually rely on sentiment classifiers trained in source domains. However, their performance may …...

AbstractThe growth of social media has encouraged the written use of African American Vernacular English (AAVE), which has traditionally been used only in oral contexts. However, NLP models have historically …...

Sentiment classification has been crucial for many natural language processing (NLP) applica- tions, such as the analysis of movie reviews, tweets, or customer feedback. A sufficiently large amount of data …...

AbstractThe explosion of user-generated content (UGC)—e.g. social media posts and comments and and reviews—has motivated the development of NLP applications tailored to these types of informal texts. Prevalent among these …...

AbstractNatural language processing (NLP) algorithms have become very successful, but they still struggle when applied to out-of-distribution examples. In this paper we propose a controllable generation approach in order to …...