Figurative language (FL) seems ubiquitous in all social media discussion forums and chats,
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …

Many data sets (eg, reviews, forums, news, etc.) exist parallelly in multiple languages. They
all cover the same content, but the linguistic differences make it impossible to use traditional …

Irony as a literary technique is widely used in online texts such as Twitter posts. Accurate
irony detection is crucial for tasks such as effective sentiment analysis. A text's ironic intent is …

Sarcasm detection is the task of identifying irony containing utterances in sentiment-bearing
text. However, the figurative and creative nature of sarcasm poses a great challenge for …

This paper introduces IroSvA, the first shared task fully dedicated to identify the presence of
irony in short messages (tweets and news comments) written in three different variants of …

In order to accelerate the performance of various Natural Language Processing tasks for
Roman Urdu, this article for the very first time provides 3 neural word embeddings prepared …

Making machines understand language and reasoning on it has been one of the most
challenging problems addressed by Artificial Intelligent researchers. This challenge …

Irony is a ubiquitous figurative language in daily communication. Previously, many
researchers have approached irony from linguistic, cognitive science, and computational …

Purpose The purpose of this paper is to investigate the effect of including letter repetition
commonly found within social media text and its impact in determining the sentiment scores …

Topic models have been widely used to discover hidden topics in a collection of documents.
In this paper, we propose to investigate the role of two different types of relational …