The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …

Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment Analysis, aims to
extract explicit aspect expressions from online user reviews. We present a new framework …

We propose a novel LSTM-based deep multi-task learning framework for aspect term
extraction from user review sentences. Two LSTMs equipped with extended memories and …

Aspect-based sentiment analysis (ABSA) is a fine-grained type of sentiment analysis that
identifies aspects and their associated opinions from a given text. With the surge of digital …

Aspect-based multimodal sentiment analysis (ABMSA) aims to determine the sentiment
polarities of each aspect or entity mentioned in a multimodal post or review. Previous studies …

With the prevalence of social media and online forum, opinion mining, aiming at analyzing
and discovering the latent opinion in user-generated reviews on the Internet, has become a …

Aspect term extraction is one of the important subtasks in aspect-based sentiment analysis.
Previous studies have shown that using dependency tree structure representation is …

With the increasing number of customer reviews on the Web, there is a growing need for
effective methods to retrieve valuable information hidden in these reviews, as sellers need to …

Sentiment analysis aims to extract structured opinions from unstructured reviews and
determine their sentiment polarities. However, existing sentiment analysis systems fail to …

Sentiment analysis is an active research domain of the current era, thanks to its vast
applications. The main objective is to classify the polarity of the given text as negative …