The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

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 …

We propose a hierarchical attention network for document classification. Our model has two
distinctive characteristics:(i) it has a hierarchical structure that mirrors the hierarchical …

Automatic machine learning systems can inadvertently accentuate and perpetuate
inappropriate human biases. Past work on examining inappropriate biases has largely …

Twitter sentiment analysis technology provides the methods to survey public emotion about
the events or products related to them. Most of the current researches are focusing on …

In this paper we present two deep-learning systems that competed at SemEval-2017 Task 4
“Sentiment Analysis in Twitter”. We participated in all subtasks for English tweets, involving …

Sentiment analysis is a fast growing area of research in natural language processing (NLP)
and text classifications. This technique has become an essential part of a wide range of …

Here for the first time we present a shared task on detecting stance from tweets: given a
tweet and a target entity (person, organization, etc.), automatic natural language systems …