Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About

About

I was born in Portugal in 1964. I graduated in mathematics from the Faculty of Sciences of the University of Porto and earned a Ph.D. in Computer Science from the same institution.
My current position is auxiliary professor at the Computer Science department of the Faculty of Sciences of the University of Porto. I am also affiliated with the Center for Research in Advanced Computing Systems (CRACS), an R&D unit of INESCTEC Research Laboratory, where I am an effective member.
My main research interests are technology enhanced learning, web adaptability, and semantic web.

Interest
Topics
Details

Details

  • Name

    José Paulo Leal
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st January 2009
Publications

2018

EmoSpell, a morphological and emotional word analyzer

Authors
Maia, MI; Leal, JP;

Publication
Information (Switzerland)

Abstract
The analysis of sentiments, emotions, and opinions in texts is increasingly important in the current digital world. The existing lexicons with emotional annotations for the Portuguese language are oriented to polarities, classifying words as positive, negative, or neutral. To identify the emotional load intended by the author, it is necessary to also categorize the emotions expressed by individual words. EmoSpell is an extension of a morphological analyzer with semantic annotations of the emotional value of words. It uses Jspell as the morphological analyzer and a new dictionary with emotional annotations. This dictionary incorporates the lexical base EMOTAIX.PT, which classifies words based on three different levels of emotions-global, specific, and intermediate. This paper describes the generation of the EmoSpell dictionary using three sources: the Jspell Portuguese dictionary and the lexical bases EMOTAIX.PT and SentiLex-PT. Additionally, this paper details the Web application and Web service that exploit this dictionary. It also presents a validation of the proposed approach using a corpus of student texts with different emotional loads. The validation compares the analyses provided by EmoSpell with the mentioned emotional lexical bases on the ability to recognize emotional words and extract the dominant emotion from a text. © 2018 by the authors.

2017

Enhancing Feedback to Students in Automated Diagram Assessment

Authors
Correia, H; Leal, JP; Paiva, JC;

Publication
6th Symposium on Languages, Applications and Technologies, SLATE 2017, June 26-27, 2017, Vila do Conde, Portugal

Abstract
Automated assessment is an essential part of eLearning. Although comparatively easy for multiple choice questions (MCQs), automated assessment is more challenging when exercises involve languages used in computer science. In this particular case, the assessment is more than just grading and must include feedback that leads to the improvement of the students’ performance. This paper presents ongoing work to develop Kora, an automated diagram assessment tool with enhanced feedback, targeted to the multiple diagrammatic languages used in computer science. Kora builds on the experience gained with previous research, namely: a diagram assessment tool to compute di erences between graphs; an IDE inspired web learning environment for computer science languages; and an extensible web diagram editor. Kora has several features to enhance feedback: it distinguishes syntactic and semantic errors, providing specialized feedback in each case; it provides progressive feedback disclosure, controlling the quality and quantity shown to each student after a submission; when possible, it integrates feedback within the diagram editor showing actual nodes and edges on the editor itself. © Hélder Correia, José Paulo Leal, and José Carlos Paiva

2017

6th Symposium on Languages, Applications and Technologies, SLATE 2017, June 26-27, 2017, Vila do Conde, Portugal

Authors
Queirós, R; Pinto, M; Simões, A; Leal, JP; Varanda Pereira, MJ;

Publication
SLATE

Abstract

2017

Tuberculosis in children from diagnosis to decision to treat

Authors
Ramos, S; Gaio, R; Ferreira, F; Paulo Leal, JP; Martins, S; Vasco Santos, JV; Carvalho, I; Duarte, R;

Publication
Revista Portuguesa de Pneumologia (English Edition)

Abstract

2017

RUTICO: Recommending Successful Learning Paths Under Time Constraints

Authors
Nabizadeh, AH; Jorge, AM; Leal, JP;

Publication
Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP 2017, Bratislava, Slovakia, July 09 - 12, 2017

Abstract

Supervised
thesis

2016

Long term goal oriented recommender system

Author
Amir Hossein Nabizadeh Rafsanjani

Institution
UP-FCUP

2016

Integração e processamento de dados em experiências sobre processos cognitivos da escrita

Author
Patrícia Sofia Borges Santos

Institution
UP-FCUP

2016

Recommender System for an e-learning platform

Author
Ricardo Jorge Mendes Oliveira

Institution
UP-FCUP

2015

Avaliador de Exercícios Baseados em Diagramas

Author
Rúben Filipe Pereira de Sousa

Institution
UP-FCUP