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 …

Within the last couple of years, Sentiment Analysis in Arabic has gained a considerable
interest from the research community. In this respect, the objective of this paper is to provide …

We present a shared task on automatically determining sentiment intensity of a word or a
phrase. The words and phrases are taken from three domains: general English, English …

Social networking sites, blogs and many more informal texting sites have taken a center
stage in our lives, and in this informal messages we tend to show a lot of emotions towards a …

Linguistic modifiers such as negators (eg, not), intensifiers (eg, very) and modals (eg, would)
are commonly used in expressing opinions. These modifiers play an important role in …

Phrase-level sentiment intensity prediction is difficult due to the inclusion of linguistic
modifiers (eg, negators, degree adverbs, and modals) potentially resulting in an intensity …

The researches of semantics (positive, negative, neutral) are performed for a long time and
they are very important for many commercial applications, many scientific works, etc. In this …

Social media platforms have proven to be a powerful source of opinion sharing. Thus,
mining and analyzing these opinions has an important role in decision-making and product …

We have already survey many significant approaches for many years because there are
many crucial contributions of the sentiment classification which can be applied in everyday …

This paper describes our approach to the Emotion Intensity shared task. A parallel
architecture of Convolutional Neural Network (CNN) and Long short term memory networks …