Andres Montoyo

Dr. Andres Montoyo


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2012 in Decision Support Systems
Verified
Journal Article
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AMAndres Montoyo
Andres Montoyo
PMPatricio Martínez-Barco
Patricio Martínez-Barco
ABAlexandra Balahur
Alexandra Balahur

1 November 2012 in Decision Support Systems
Verified
Journal Article
Closed access
ABAlexandra Balahur
Alexandra Balahur
JHJesús M. Hermida
Jesús M. Hermida
AMAndres Montoyo
Andres Montoyo

13 October 2011 in IEEE Transactions on Affective Computing
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Journal Article
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ABAlexandra Balahur
Alexandra Balahur
JHJesus M. Hermida
Jesus M. Hermida
AMAndres Montoyo
Andres Montoyo
The task of automatically detecting emotion in text is challenging. This is due to the fact that most of the times, textual expressions of affect are not direct-using emotion words-but result from the interpretation and assessment of the meaning of the concepts and interaction of concepts described in the text. This paper presents the core of EmotiNet, a new knowledge base (KB) for representing and storing affective reaction to real-life contexts, and the methodology employed in designing, populating, and evaluating it. The basis of the design process is given by a set of self-reported affective situations in the International Survey on Emotion Antecedents and Reactions (ISEAR) corpus. We cluster the examples and extract triples using Semantic Roles. We subsequently extend our model using other resources, such as VerbOcean, ConceptNet, and SentiWordNet, with the aim of generalizing the knowledge contained. Finally, we evaluate the approach using the representations of other examples in the ISEAR corpus. We conclude that EmotiNet, although limited by the domain and small quantity of knowledge it presently contains, represents a semantic resource appropriate for capturing and storing the structure and the semantics of real events and predicting the emotional responses triggered by chains of actions.

1 January 2014 in Computer Speech & Language
Verified
Journal Article
Closed access
ABAlexandra Balahur
Alexandra Balahur
RMRada Mihalcea
Rada Mihalcea
AMAndres Montoyo
Andres Montoyo

1 January 2006
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Book Chapter
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PDF file
ZKZornitsa Kozareva
Zornitsa Kozareva
AMAndres Montoyo
Andres Montoyo

28 April 2015 in Sustainability
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Journal Article
Open access
PDF file
MAMaría Dolores Andújar-Montoya
María Dolores Andújar-Montoya
VGVirgilio Gilart-Iglesias
Virgilio Gilart-Iglesias
AMAndres Montoyo
Andres Montoyo
DMDiego Marcos-Jorquera
Diego Marcos-Jorquera
A Mass Customisation model is discussed as a competitive positioning strategy in the marketplace adding value to the customer’s end-use. It includes the user as part of the construction process responding to the customer’s demands and wishes. To the present day, almost all proposals for Mass Customisation have been focused on the design phase and single family houses. The reality is that the processes carried out in the work execution are so inefficient that the costs of the Mass Customisation models are assumed by the customer and they do not offer solutions that support the change management. Furthermore, this inefficiency often makes Mass Customisation unfeasible in terms of deadlines and site management. Therefore, the present proposal focuses on achieving the paradigm of Mass Customisation in the traditional residential construction complementary to the existing proposals in the design phase. All this through the proposal of a framework for the integral management in the work execution, which will address change management introduced by the users offering an efficient and productive model that reduces costs in the process. This model will focus on the synergy between different strategies, techniques and technologies currently used in the construction management (such as Lean Construction or Six Sigma), together with, other strategies and technologies that have proven to be valid solutions in other fields (such as Business Process Management, Service Oriented Architecture, etc.).