Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …

Arabic is recognised as the 4th most used language of the Internet. Arabic has three main
varieties:(1) classical Arabic (CA),(2) Modern Standard Arabic (MSA),(3) Arabic Dialect (AD) …

Abstract We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of
subtasks on inferring the affectual state of a person from their tweet. For each task, we …

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 great success has been achieved in sentiment classification for English,
thanks in part to the availability of copious annotated resources. Unfortunately, most …

In recent years, many applications are using various forms of deep learning models. Such
methods are usually based on traditional learning paradigms requiring the consistency of …

Over the years, social media has had a considerable impact on the way we share
information and send messages. With this comes the problem of the rapid distribution of fake …

Social media is growing as a communication medium where people can express online their
feelings and opinions on a variety of topics in ways they rarely do in person. Detecting …

Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in developing models for sentiment analysis, the …

This paper presents a supervised learning method for irony detection in Arabic tweets. A
binary classifier uses four groups of features whose efficiency has been empirically proved …