The increasing volume of user-generated content on the web has made sentiment analysis
an important tool for the extraction of information about the human emotional state. A current …

Over the last decade, the amount of Arabic content created on websites and social media
has grown significantly. Opinions are shared openly and freely on social media and thus …

Sentiment analysis has become very popular in both research and business due to the
increasing amount of opinionated text from Internet users. Standard sentiment analysis …

Different types of sentences express sentiment in very different ways. Traditional sentence-
level sentiment classification research focuses on one-technique-fits-all solution or only …

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 …

Opinion mining from customer reviews has become pervasive in recent years. Sentences in
reviews, however, are usually classified independently, even though they form part of a …

The primary goal of aspect-based sentiment analysis is to identify sentiment polarity
concerning the given aspect in a sentence. Recent investigations have demonstrated the …

In this work, we propose a new model for aspect-based sentiment analysis. In contrast to
previous approaches, we jointly model the detection of aspects and the classification of their …

The increasing interactive content in the Internet motivated researchers and data scientists
to conduct Aspect-Based Sentiment Analysis (ABSA) research to understand the various …

Sentiment analysis has become one of the most active research areas in natural language
processing, and the Arabic language retains its importance in this field. It is so because of …