Results 21 to 30 of about 40,310,090 (289)

MuSe: The Musical Sentiment Dataset

Journal of Open Humanities Data, 2021
The MuSe (Music Sentiment) dataset contains sentiment information for 90,001 songs. We computed scores for the affective dimensions of valence, dominance, and arousal, based on the user-generated tags that are available for each song via Last.fm.
Christopher Akiki, Manuel Burghardt
doaj   +1 more source

COPIOUS: A gold standard corpus of named entities towards extracting species occurrence from biodiversity literature [PDF]

Biodiversity Data Journal, 2019
Background Species occurrence records are very important in the biodiversity domain. While several available corpora contain only annotations of species names or habitats and geographical locations, there is no consolidated corpus that covers all ...
Nhung Nguyen, Roselyn Gabud, Sophia Ananiadou   +2 more
doaj   +2 more sources

PRESTOapp for health workers with mental health symptoms related to the COVID-19 pandemic

European Psychiatry, 2022
Introduction The COVID-19 pandemic has caused a significant impact on the mental health of health workers that has brought many hospitals to launch immediate preventive mental health programs.
M. Primé Tous, G. Anmella, X. Segú, M.D.R. Fernández Canseco, C. Carrino, M. Villegas, V. Vicens, J. Blanch, M. Cavero, E. Vieta, D. Hidalgo-Mazzei   +10 more
doaj   +1 more source

Investigation of improving the pre-training and fine-tuning of BERT model for biomedical relation extraction

BMC Bioinformatics, 2022
Background Recently, automatically extracting biomedical relations has been a significant subject in biomedical research due to the rapid growth of biomedical literature.
Peng Su, K. Vijay-Shanker
doaj   +1 more source

Classifying protein-protein interaction articles from biomedical literature using many relevant features and context-free grammar

Journal of King Saud University: Computer and Information Sciences, 2020
Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar, Gurusamy Murugesan, Jeyakumar Natarajan   +2 more
doaj   +1 more source

Identification of research hypotheses and new knowledge from scientific literature

BMC Medical Informatics and Decision Making, 2018
Background Text mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative information, known as Meta-Knowledge ...
Matthew Shardlow, Riza Batista-Navarro, Paul Thompson, Raheel Nawaz, John McNaught, Sophia Ananiadou   +5 more
doaj   +1 more source

Vickybot, a chatbot for anxiety-depressive symptoms and work-related burnout

European Psychiatry, 2023
Introduction A significant proportion of people attending Primary Care (PC) have anxiety-depressive symptoms and work-related burnout and there is a lack of resources to attend them.
G. Anmella, M. Sanabra, M. Primé-tous, X. Segú, M. Cavero, R. Navinés, A. Mas, V. Olivé, L. Pujol, S. Quesada, C. Pio, M. Villegas, I. Grande, I. Morilla, A. Martínez-Aran, V. Ruiz, E. Vieta, D. Hidalgo-Mazzei   +17 more
doaj   +1 more source

High performance latent dirichlet allocation for text mining [PDF]

, 2013
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Latent Dirichlet Allocation (LDA), a total probability generative model, is a three-tier Bayesian model. LDA computes the latent topic structure of the data
Liu, Zelong
core   +7 more sources

Knowledge Management for Biomedical Literature: The Function of Text-Mining Technologies in Life-Science Research [PDF]

, 2008
Efficient information retrieval and extraction is a major challenge in life-science research. The Knowledge Management (KM) for biomedical literature aims to establish an environment, utilizing information technologies, to facilitate better acquisition ...

core   +4 more sources

Adaptive text mining: Inferring structure from sequences [PDF]

, 2004
Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes.
Witten, Ian H.
core   +1 more source