Search results for "Image"
showing 10 items of 6818 documents
Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora
2020
In this paper, we tackle the problem of the irony and sarcasm detection for the Italian language to contribute to the enrichment of the sentiment analysis field. We analyze and compare five deep-learning systems. Results show the high suitability of such systems to face the problem by achieving 93% of F1-Score in the best case. Furthermore, we briefly analyze the model architectures in order to choose the best compromise between performances and complexity.
Graph-based exploration and clustering analysis of semantic spaces
2019
Abstract The goal of this study is to demonstrate how network science and graph theory tools and concepts can be effectively used for exploring and comparing semantic spaces of word embeddings and lexical databases. Specifically, we construct semantic networks based on word2vec representation of words, which is “learnt” from large text corpora (Google news, Amazon reviews), and “human built” word networks derived from the well-known lexical databases: WordNet and Moby Thesaurus. We compare “global” (e.g., degrees, distances, clustering coefficients) and “local” (e.g., most central nodes and community-type dense clusters) characteristics of considered networks. Our observations suggest that …
A Controllable Text Simplification System for the Italian Language
2021
Text simplification is a non-trivial task that aims at reducing the linguistic complexity of written texts. Researchers have studied the problem by proposing new methodologies for addressing the English language, but other languages, like the Italian one, are almost unexplored. In this paper, we give a contribution to the enhancement of the Automated Text Simplification research by presenting a deep learning-based system, inspired by a state of the art system for the English language, capable of simplifying Italian texts. The system has been trained and tested by leveraging the Italian version of Newsela; it has shown promising results by achieving a SARI value of 30.17.
Representation of disabilities in Physical Education textbooks image: inclusion or exclusion?
2017
El objetivo de la investigación es mostrar cómo se representan las personas con discapacidad en las imágenes de los libros de texto de Educación Física en la etapa de Educación Primaria. El estudio es de tipo empírico, descriptivo y comparativo entre los libros de texto analizados. La muestra recogió 3836 imágenes de libros de texto publicados en España entre los años 2006 y 2013, bajo la Ley Orgánica de Educación (LOE). La técnica de investigación fue el análisis de contenido a través de un sistema de categorías elaborado ad hoc, previa validación y fiabilidad mediante una prueba piloto, una consulta a expertos/as y una prueba intercodificadores. Para el análisis estadístico se utilizó el …
Pervivencia de estereotipos de género en las imágenes de los libros de texto de música españoles
2021
Resumen Los libros de texto musicales, en España, han intentado recoger los cambios legislativos promovidos gubernamentalmente, así como las diferencias en el tratamiento del género, mediante la representación de la mujer como instrumentista. El libro de texto de Música se convierte en una herramienta de difusión de estereotipos que pueden haber perdido vigencia en el mundo musical, pero que no terminan de interiorizarse debido al impacto de la imagen estereotipada publicada. Se han analizado 2.414 imágenes de 47 libros de texto de Música de Educación Primaria de distintas editoriales españolas para la Comunidad Valenciana con el objetivo de mostrar la evolución y presencia de la mujer como…
Estereotipos de género en las imágenes que representan las actividades en el medio natural en los libros de Educación Física de Primaria
2019
Los estereotipos de genero relacionados con la actividad fisica siguen presentes tanto en la Educacion Primaria como en la Educacion Secundaria. El potencial educativo que tienen las actividades en el medio natural ha sido destacado en numerosos estudios. El objetivo de esta investigacion fue analizar las actividades en el medio natural y su vinculacion en funcion del sexo, representadas en los libros de texto de Educacion Fisica en la etapa de Educacion Primaria, publicados en la Ley Organica 2/2006, de 3 de mayo, de Educacion. Se analizaron el total de la muestra de imagenes en la naturaleza (n = 99), recogidas en 34 libros de texto, pertenecientes a seis editoriales espanolas. Para el an…
Sports activities in the natural environment: its representation in physical education textbooks in primary school
2017
El objeto de esta investigación es analizar las actividades deportivas realizadas en el medio natural representadas en los libros de texto de Educación Física (EF) en la etapa de Educación Primaria (EP), publicados en la Ley Orgánica 2/2006, de 3 de mayo, de Educación (LOE). Se analizan 4339 imágenes, recogidas en 44 libros de texto, pertenecientes a ocho editoriales españolas. Para el análisis de contenido de las imágenes se utilizó la herramienta SAIMEF (Sistema de Análisis de las Imágenes de Educación Física), elaborada ad hoc. La prueba piloto, el panel de expertos y la triangulación con varios observadores fueron algunos de los criterios de cientificidad que avalaron dicha herramienta.…
Cost-driven framework for progressive compression of textured meshes
2019
International audience; Recent advances in digitization of geometry and radiometry generate in routine massive amounts of surface meshes with texture or color attributes. This large amount of data can be compressed using a progressive approach which provides at decoding low complexity levels of details (LoDs) that are continuously refined until retrieving the original model. The goal of such a progressive mesh compression algorithm is to improve the overall quality of the transmission for the user, by optimizing the rate-distortion trade-off. In this paper, we introduce a novel meaningful measure for the cost of a progressive transmission of a textured mesh by observing that the rate-distor…
Development of an Automatic Pollen Classification System Using Shape, Texture and Aperture Features
2015
International audience; Automatic detection and classification of pollen species has value for use inside of palynologic allergen studies. Traditional labeling of different pollen species requires an expert biologist to classify particles by sight, and is therefore time-consuming and expensive. Here, an automatic process is developed which segments the particle contour and uses the extracted features for the classification process. We consider shape features, texture features and aperture features and analyze which are useful. The texture features analyzed include: Gabor Filters, Fast Fourier Transform, Local Binary Patterns, Histogram of Oriented Gradients, and Haralick features. We have s…
Copy-move Forgery Detection via Texture Description
2010
Copy-move forgery is one of the most common type of tampering in digital images. Copy-moves are parts of the image that are copied and pasted onto another part of the same image. Detection methods in general use block-matching methods, which first divide the image into overlapping blocks and then extract features from each block, assuming similar blocks will yield similar features. In this paper we present a block-based approach which exploits texture as feature to be extracted from blocks. Our goal is to study if texture is well suited for the specific application, and to compare performance of several texture descriptors. Tests have been made on both uncompressed and JPEG compressed image…