Cargando…

An empirical evaluation of electronic annotation tools for Twitter data

Despite a growing number of natural language processing shared-tasks dedicated to the use of Twitter data, there is currently no ad-hoc annotation tool for the purpose. During the 6th edition of Biomedical Linked Annotation Hackathon (BLAH), after a short review of 19 generic annotation tools, we ad...

Descripción completa

Detalles Bibliográficos
Autores principales:	Weissenbacher, Davy, O'Connor, Karen, Hiraki, Aiko T., Kim, Jin-Dong, Gonzalez-Hernandez, Graciela
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Korea Genome Organization 2020
Materias:	Opinion
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362942/ https://www.ncbi.nlm.nih.gov/pubmed/32634878 http://dx.doi.org/10.5808/GI.2020.18.2.e24

Ejemplares similares

Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set
por: Klein, Ari Z, et al.
Publicado: (2021)

A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter
por: Klein, Ari Z., et al.
Publicado: (2020)

Extending A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter to England, UK
por: Golder, S, et al.
Publicado: (2020)

A chronological and geographical analysis of personal reports of COVID-19 on Twitter from the UK
por: Golder, Su, et al.
Publicado: (2022)

Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines
por: O'Connor, Karen, et al.
Publicado: (2020)

Towards scaling Twitter for digital epidemiology of birth defects
por: Klein, Ari Z., et al.
Publicado: (2019)

Automatically Identifying Twitter Users for Interventions to Support Dementia Family Caregivers: Annotated Data Set and Benchmark Classification Models
por: Klein, Ari Z, et al.
Publicado: (2022)

Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort
por: Klein, Ari Z, et al.
Publicado: (2023)

Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy
por: Klein, Ari Z, et al.
Publicado: (2023)

An annotated data set for identifying women reporting adverse pregnancy outcomes on Twitter
por: Klein, Ari Z., et al.
Publicado: (2020)

SEED: Symptom Extraction from English Social Media Posts using Deep Learning and Transfer Learning
por: Magge, Arjun, et al.
Publicado: (2022)

Patient-Related Metadata Reported in Sequencing Studies of SARS-CoV-2: Protocol for a Scoping Review and Bibliometric Analysis
por: O’Connor, Karen, et al.
Publicado: (2023)

Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort Identification
por: Klein, Ari Z, et al.
Publicado: (2022)

Using Twitter Data for Cohort Studies of Drug Safety in Pregnancy: Proof-of-concept With β-Blockers
por: Klein, Ari Z, et al.
Publicado: (2022)

Deep neural networks ensemble for detecting medication mentions in tweets
por: Weissenbacher, Davy, et al.
Publicado: (2019)

GeoBoost2: a natural languageprocessing pipeline for GenBank metadata enrichment for virus phylogeography
por: Magge, Arjun, et al.
Publicado: (2020)

Patient-Reported Reasons for Switching or Discontinuing Statin Therapy: A Mixed Methods Study Using Social Media
por: Golder, Su, et al.
Publicado: (2022)

Text mining biomedical literature to identify extremely unbalanced data for digital epidemiology and systematic reviews: dataset and methods for a SARS-CoV-2 genomic epidemiology study
por: Weissenbacher, Davy, et al.
Publicado: (2023)

DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter
por: Magge, Arjun, et al.
Publicado: (2021)

Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review
por: Golder, Su, et al.
Publicado: (2022)

Pregnancy and health in the age of the Internet: A content analysis of online “birth club” forums
por: Wexler, Anna, et al.
Publicado: (2020)

Active neural networks to detect mentions of changes to medication treatment in social media
por: Weissenbacher, Davy, et al.
Publicado: (2021)

Assessment of Beliefs and Attitudes About Statins Posted on Twitter: A Qualitative Study
por: Golder, Su, et al.
Publicado: (2020)

Public Perspectives on Anti-Diabetic Drugs: Exploratory Analysis of Twitter Posts
por: Golder, Su, et al.
Publicado: (2021)

Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab
por: Smith, Karen, et al.
Publicado: (2018)

Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography
por: Scotch, Matthew, et al.
Publicado: (2019)

The top social media influencers in obstetrics and gynecology on twitter
por: Ghaith, Summer, et al.
Publicado: (2023)

Pharmacoepidemiologic Evaluation of Birth Defects from Health-Related Postings in Social Media During Pregnancy
por: Golder, Su, et al.
Publicado: (2018)

Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter
por: Sarker, Abeed, et al.
Publicado: (2016)

Toward Using Twitter for PrEP-Related Interventions: An Automated Natural Language Processing Pipeline for Identifying Gay or Bisexual Men in the United States
por: Klein, Ari Z, et al.
Publicado: (2022)

Community annotation in biology
por: Mazumder, Raja, et al.
Publicado: (2010)

Genome cartography through domain annotation
por: Ponting, Chris P, et al.
Publicado: (2001)

Deep neural networks and distant supervision for geographic location mention extraction
por: Magge, Arjun, et al.
Publicado: (2018)

Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature
por: Magge, Arjun, et al.
Publicado: (2019)

Genome re-annotation: a wiki solution?
por: Salzberg, Steven L
Publicado: (2007)

The past, present and future of genome-wide re-annotation
por: Ouzounis, Christos A, et al.
Publicado: (2002)

Transfer learning: The key to functionally annotate the protein universe
por: Bugnon, Leandro A., et al.
Publicado: (2023)

Multi-species sequence comparison: the next frontier in genome annotation
por: Dubchak, Inna, et al.
Publicado: (2003)

High-throughput sequencing data and the impact of plant gene annotation quality
por: Vaattovaara, Aleksia, et al.
Publicado: (2019)

Extracting geographic locations from the literature for virus phylogeography using supervised and distant supervision methods
por: Weissenbacher, Davy, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_vsqu7osidf4chunmldje06v9u8