Online review sites and opinion forums contain a wealth of information regarding user
preferences and experiences over multiple product domains. This information can be …

Aspect-level sentiment analysis is a fine-grained sentiment analysis task designed to identify
the sentiment polarity of specific target in a sentence. However, this task is rarely used in …

Since the turn of the century, as millions of user's opinions are available on the web,
sentiment analysis has become one of the most fruitful research fields in Natural Language …

This paper presents a hybrid ontology-XLNet sentiment analysis classification approach for
sentence-level aspects. The main objective of the proposed approach allows discovering …

Sentiment analysis is the extraction and categorization of sentiments that have been
expressed in text data using text analysis techniques. Manifested by earlier studies …

Supervised learning methods have proven to be effective for Aspect-Based Sentiment
Analysis (ABSA). However, the lack of finegrained labeled data hinders their effectiveness in …

Previous studies have shown that incorporating sentiment knowledge (eg, sentiment scores)
is effective for aspect-based sentiment analysis (ABSA). However, sentiment knowledge is …

Sentiment analysis is the task of determining the attitude (positive or negative) of documents.
While the polarity of words in the documents is informative for this task, polarity of some …

Sentiment analysis requires a lot of information coming from different sources and about
different topics to be retrieved and fused. For this reason, one of the most important subtasks …

Scientific papers are complex and understanding the usefulness of these papers requires
prior knowledge. Peer reviews are comments on a paper provided by designated experts on …