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

This paper describes the fifth year of the Sentiment Analysis in Twitter task. SemEval-2017
Task 4 continues with a rerun of the subtasks of SemEval-2016 Task 4, which include …

To determine whether a document or a sentence expresses a positive or negative sentiment,
three main approaches are commonly used: the lexicon-based approach, corpus-based …

Sentiment analysis is a common and challenging task in natural language processing
(NLP). It is a widely studied area of research; it facilitates capturing public opinions about a …

The complexities and tangles of Arabic dialect in orthography and morphology typically
make the sentimental analysis quite challenging. Moreover, most of the classification …

Microblogs data is the microlength user-generated data that is posted on the web, eg,
tweets, online reviews, comments on news and social media. It has gained considerable …

A corpus-based sentiment analysis approach for messages written in Arabic and its dialects
is presented and implemented. The originality of this approach resides in the automation …

Online content posted by Arab users on social networks does not generally abide by the
grammatical and spelling rules. These posts, or comments, are valuable because they …

To determine whether a document or a sentence expresses a positive or negative sentiment,
three main approach types are commonly used: lexicon based approaches, machine …

Automatic sentiment analysis play vital role in decision making. Many organizations spend a
lot of budget to understand their customer satisfaction by manually going over their …