Results 21 to 30 of about 3,437,889 (360)

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

Text Mining

, 2021
Im KONDE-Projekt, das aus Hochschulraumstrukturmitteln finanziert wird, beschäftigten sich sieben universitäre Partner und drei weitere Einrichtungen aus unterschiedlichen Blickwinkeln mit theoretischen und praktischen Aspekten der Digitalen Edition. Ein Outcome des Projektes stellt das Weißbuch dar, welches über 200 Artikel zum Thema Digitale Edition ...
  +6 more sources

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

The potential of text mining in data integration and network biology for plant research : a case study on Arabidopsis [PDF]

, 2013
Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of
De Bodt, Stefanie, Drebert, Zuzanna, Inzé, Dirk, Van de Peer, Yves, Van Landeghem, Sofie   +4 more
core   +2 more sources

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

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   +2 more sources

TnT-LLM: Text Mining at Scale with Large Language Models [PDF]

Knowledge Discovery and Data Mining
Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application.
Mengting Wan, Tara Safavi, S. Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, N.Kasturi Rangan   +13 more
semanticscholar   +1 more source

Effective pattern discovery for text mining [PDF]

, 2012
Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the domain of text mining. Since most existing text
Li, Yuefeng, Wu, Sheng-Tang, Zhong, Ning
core   +2 more sources

Text Analytics for Android Project [PDF]

, 2014
Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Abul Seoud, Anholt, BusinessAnalytics, Butleranalytics, Fagan, Gartner, He, Hettne, Kaklauskas, Kaklauskas, Kamel Boulos, Liew, Machine Learning Market, Marwick, Miner, Mostafa, Nguyen, Piedra, Stackoverflow, Truyens, Witten, Wu   +21 more
core   +1 more source