When a message, such as a piece of news, spreads in social networks, how can we classify
it into categories of interests, such as genuine or fake news? Classification of social media …

Sentiment analysis includes a great amount of tasks such as sentiment extraction and classi
cation, subjectivity detection, opinion summary, and opinion spam detection, among others …

Visual question answering (VQA) is a recently proposed artificial intelligence task that
requires a deep understanding of both images and texts. In deep learning, images are …

In online labor markets, a Call for Bids (CFB) serves as a form of contracts with the
description of services required from service providers. It helps service providers understand …

Among different characteristics of knowledge bases, data quality is one of the most relevant
to maximize the benefits of the provided information. Knowledge base quality assessment …

Sentiment analysis aims to uncover emotions conveyed through information. In its simplest
form, it is performed on a polarity basis, where the goal is to classify information with positive …

Sentiment analysis and opinion mining is an area that has experienced considerable growth
over the last decade. is area of research a empts to determine the feelings, opinions …

Tiivistelmä Twitter-pohjainen analytiikka on noussut useiden tieteenalojen työkalupakkiin
viime vuosina. Kuitenkin, järjestelmällisten analyysikokonaisuuksien kehitys on mikroblog …

A key means of monitoring current and evolving events is through their linguistic signatures
in text-based information sources (eg, social media like Twitter, Facebook, and Reddit) …

By using the methodology of deep learning that advocates relying more on data and flexible
neural models rather than on the expert's knowledge of the domain, the research community …