4 results on '"Vidal Castro C"'
Search Results
2. Guide for the application of the data augmentation approach on sets of texts in Spanish for sentiment and emotion analysis.
- Author
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Gutiérrez Benítez R, Segura Navarrete A, Vidal-Castro C, and Martínez-Araneda C
- Subjects
- Humans, Algorithms, Neural Networks, Computer, Machine Learning, Language, Deep Learning, Emotions, Natural Language Processing, Social Media
- Abstract
Over the last ten years, social media has become a crucial data source for businesses and researchers, providing a space where people can express their opinions and emotions. To analyze this data and classify emotions and their polarity in texts, natural language processing (NLP) techniques such as emotion analysis (EA) and sentiment analysis (SA) are employed. However, the effectiveness of these tasks using machine learning (ML) and deep learning (DL) methods depends on large labeled datasets, which are scarce in languages like Spanish. To address this challenge, researchers use data augmentation (DA) techniques to artificially expand small datasets. This study aims to investigate whether DA techniques can improve classification results using ML and DL algorithms for sentiment and emotion analysis of Spanish texts. Various text manipulation techniques were applied, including transformations, paraphrasing (back-translation), and text generation using generative adversarial networks, to small datasets such as song lyrics, social media comments, headlines from national newspapers in Chile, and survey responses from higher education students. The findings show that the Convolutional Neural Network (CNN) classifier achieved the most significant improvement, with an 18% increase using the Generative Adversarial Networks for Sentiment Text (SentiGan) on the Aggressiveness (Seriousness) dataset. Additionally, the same classifier model showed an 11% improvement using the Easy Data Augmentation (EDA) on the Gender-Based Violence dataset. The performance of the Bidirectional Encoder Representations from Transformers (BETO) also improved by 10% on the back-translation augmented version of the October 18 dataset, and by 4% on the EDA augmented version of the Teaching survey dataset. These results suggest that data augmentation techniques enhance performance by transforming text and adapting it to the specific characteristics of the dataset. Through experimentation with various augmentation techniques, this research provides valuable insights into the analysis of subjectivity in Spanish texts and offers guidance for selecting algorithms and techniques based on dataset features., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Gutiérrez Benítez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2024
- Full Text
- View/download PDF
3. Concept of representation and mental symptoms. The case of theory of mind.
- Author
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Rejón Altable C, Vidal Castro C, and López Santín JM
- Subjects
- Adult, Autistic Disorder psychology, Bipolar Disorder psychology, Borderline Personality Disorder psychology, Child, Delusions diagnosis, Delusions psychology, Humans, Psychopathology, Schizophrenic Psychology, Semantics, Symbolism, Autistic Disorder diagnosis, Bipolar Disorder diagnosis, Borderline Personality Disorder diagnosis, Concept Formation, Personal Construct Theory, Schizophrenia diagnosis
- Abstract
Background: Most current theories explaining theory of mind (ToM) rely on the concept of 'representation', as it is usually employed in cognitive science, and is thus affected by its epistemic shortcoming, namely its incapacity to use 'sub-signifier' level information. This shortcoming is responsible for the lack of specificity of ToM deficits, which are now found in very different syndromes, from schizophrenia to bipolar disorder or borderline personality disorder, in spite of its original formulation being restricted to childhood autism., Method: Representation, its shortcomings and the way they may affect clinical/research programs undergo a conceptual analysis, which shows how representational-founded semiology leave out information that is essential for symptom specificity and correct symptom assessment. Schizophrenic autism, delusional perception and axial syndromes are studied as examples of both the difficulties that have arisen and possible ways of dealing with them., Results: Transfers of properties between different meanings of 'representation' together with a systematic ambiguity in the use of 'representation' are proposed as the main ways for representational approaches to assure stability to their proposals in spite of the violence exerted on clinical phenomena., Conclusions: It is exposed how systematic ambiguity and epistemic shortcomings both affect Leslie's formulation of ToM and, further, the importance of these characteristics of the concept of 'representation' for general issues in psychiatric semiology., (2009 S. Karger AG, Basel.)
- Published
- 2009
- Full Text
- View/download PDF
4. Thought, perception and delusional infestation.
- Author
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Vidal Castro C, Rejon Altable C, and Sierra Acín AC
- Subjects
- Adult, Diagnostic and Statistical Manual of Mental Disorders, Female, Humans, Middle Aged, Severity of Illness Index, Delusions complications, Delusions diagnosis, Delusions psychology, Perceptual Disorders complications, Perceptual Disorders diagnosis, Perceptual Disorders psychology, Thinking
- Abstract
The authors report a case of delusional infestation in a 45 year-old woman followed in an out-patient setting. A review of published literature about this disorder and its nosological classification over different historical periods and by different authors is performed. Difficulties in separation of the delusion and hallucination symptoms in body phenomena are discussed.
- Published
- 2006
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