Aspect-based sentiment classification is a popular task aimed at identifying the
corresponding emotion of a specific aspect. One sentence may contain various sentiments …

This paper proposes a state-of-the-art research for aspect-based sentiment analysis of
Arabic Hotels' reviews using two implementations of long short-term memory (LSTM) neural …

In recent years, aspect category detection has become popular due to the rapid growth in
customer reviews data on e-commerce and other online platforms. Aspect Category …

This research presents an enhanced approach for Aspect-Based Sentiment Analysis (ABSA)
of Hotels' Arabic reviews using supervised machine learning. The proposed approach …

Using online consumer reviews as electronic word of mouth to assist purchase-decision
making has become increasingly popular. The Web provides an extensive source of …

Due to the phenomenal growth of online product reviews, sentiment analysis (SA) has
gained huge attention, for example, by online service providers. A number of benchmark …

The goal of aspect-category sentiment analysis (ACSA) is to predict the sentiment polarity
toward a specific aspect category from reviewers' expressed opinions in a sentence. With …

Sentiment Analysis is becoming an essential task for academics, as well as for commercial
companies. However, most current approaches only identify the overall polarity of a …

This paper describes our system used in the Aspect Based Sentiment Analysis (ABSA) task
of SemEval 2016. Our system uses Maximum Entropy classifier for the aspect category …

The increasing use of the internet enables users to share their opinion about what they like
and dislike regarding products and services. For efficient decision making, there is a need to …