Daniel Hasan Dalip

• Federal University of Minas Gerais

Técnicas de Explicabilidade são métodos que auxiliam usuários a entender os resultados de um modelo de aprendizado de máquina. Nesse contexto, este trabalho investiga se a técnica de explicabilidade de Oclusão consegue gerar respostas similares às esperadas por humanos na classificação de palavras para o Reconhecimento de Entidades Nomeadas. Para i...

Automated stock trading is now the de-facto way that investors have chosen to obtain high profits in the stock market while keeping risk under control. One of the approaches is to create agents employing Reinforcement Learning (RL) algorithms to learn and decide whether or not to operate in the market in order to achieve maximum profit. Automated f...

Existe uma grande diferença na participação de homens e mulheres em diferentes setores da sociedade, incluindo acadêmico, mercado e doméstico. Por isso, diferentes estudos têm sido desenvolvidos para entender os principais fatores e soluções para tal cenário. Este trabalho contribui para minimizar essa discrepância ao desenvolver um website com jog...

Web data are heterogeneous and unstructured, which defines challenges for data crawling, integration and preprocessing. Different studies are "data-oriented" (i.e. based on the available data) but their results are restricted to their specific data. In contrast, there are various problems prior to identifying what data is needed to solve them, and...

Sentiment analysis has become a very important tool for analysis of social media data. There are several methods developed, covering distinct aspects of the problem and disparate strategies. However, no single technique fits well in all cases or for all data sources. Supervised approaches may be able to adapt to specific situations, but require man...

Sentiment analysis has become a very important tool for analysis of social media data. There are several methods developed for this research field, many of them working very differently from each other, covering distinct aspects of the problem and disparate strategies. Despite the large number of existent techniques, there is no single one which fi...

Nowadays people can provide feedback on products and services on the web. Site owners can use this kind of information in order to understand more their public preferences. Sentiment Analysis can help in this task, providing methods to infer the polarity of the reviews. In these methods, the classifier can use hints about the polarity of the words...

p>Este artigo aborda a criação de um método computacional baseado em dicionário léxico, que seja capaz de analisar textos em idioma português brasileiro e de polarizar as palavras de acordo com os sentimentos por elas transmitidos. O estudo realizado visa detectar os sentimentos expressos nos textos da Web e comparar a abordagem proposta com método...

Este trabalho apresenta uma análise comparativa de diferentes métodos do estado da arte para detecção e descrição de características locais em imagens, com o objetivo de solucionar de forma robusta e eficiente o problema de autocalibração de câmeras. Para atingir esse objetivo, é essencial a utilização de métodos detectores e descritores eficazes,...

This paper presents a novel approach to perform sentiment analysis of news videos, based on the fusion of audio, textual and visual clues extracted from their contents. The proposed approach aims at contributing to the semiodiscoursive study regarding the construction of the ethos (identity) of this media universe, which has become a central part o...

This paper presents a novel approach to perform sentiment analysis of news videos, based on the fusion of audio, textual and visual clues extracted from their contents. The proposed approach aims at contributing to the semiodiscoursive study regarding the construction of the ethos (identity) of this media universe, which has become a central part o...

This paper presents a novel approach to perform sentiment analysis of news videos, based on the fusion of audio, textual and visual clues extracted from their contents. The proposed approach aims at contributing to the semiodiscoursive study regarding the construction of the ethos (identity) of this media universe, which has become a central part o...

Sentiment analysis has become an important topic on the Web, especially in social media, with applications in many domains such as the monitoring of businesses and products as well as the analysis of the repercussion of important events. Several methods and techniques have been independently developed for this purpose in the literature. However, re...

User-generated content is one of the most interesting phenomena of current published media, as users are now able not only to consume, but also to produce content in a much faster and easier manner. However, such freedom also carries concerns about content quality. In this work, we propose an automatic framework to assess the quality of collaborati...

Sarcasm and irony are widely used forms of speech used inside and outside the Web, having the power to transform a sentence regarding its polarity or sense. The ability of characterizing and detecting sarcastic and ironic messages on data collected from Web could improve many decision-making systems based on Natural Language Processing (NLP) such a...

Content generated by users is one of the most interesting phenomena of published media. However, the possibility of unrestricted edition is a source of doubts about its quality. This issue has motivated many studies on how to automatically assess content quality in collaborative web sites. Generally, these studies use machine learning techniques to...

In location-based social networks, such as Foursquare, users may post tips with their opinions about visited places. Tips may directly impact the behavior of future visitors, providing valuable feedback to business owners. Sentiment or polarity detection has attracted great at-tention due to its vast applicability in opinion summarization, ranking...

Collaborative web sites, such as collaborative encyclopedias, blogs, and forums, are characterized by a loose edit control, which allows anyone to freely edit their content. As a consequence, the quality of this content raises much concern. To deal with this, many sites adopt manual quality control mechanisms. However, given their size and change r...

The Internet has seen a surge of new types of repositories with free access and collaborative open edition. However, this large amount of information, made available democratically and virtually without any control, raises questions about its quality. In this work, we investigate the use of meta-learning techniques to combine sets of semantically r...

The old dream of a universal repository containing all of human knowledge and culture is becoming possible through the Internet and the Web. Moreover, this is happening with the direct collaborative participation of people. Wikipedia is a great example. It is an enormous repository of information with free access and open edition, created by the co...

In this work, we present GreenWiki, which is a wiki with a panel of quality indicators to assist the reader of a Wikipedia article in assessing its quality.

In this poster paper, we present an overview of CiênciaBrasil, a research social network involving researchers within the Brazilian INCT program. We describe its architecture and the solutions adopted for data collection, extraction, and deduplication, and for materializing and visualizing the network.

The old dream of a universal repository containing all the human knowledge and culture is becoming possible through the Internet and the Web. Moreover, this is happening with the direct collaborative, participation of people. Wikipedia is a great example. It is an enormous repository of information with free access and edition, created by the commu...