Cargando…

Discovering Fine-grained Sentiment in Suicide Notes

This paper presents our solution for the i2b2 sentiment classification challenge. Our hybrid system consists of machine learning and rule-based classifiers. For the machine learning classifier, we investigate a variety of lexical, syntactic and knowledge-based features, and show how much these featu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Wenbo, Chen, Lu, Tan, Ming, Wang, Shaojun, Sheth, Amit P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Libertas Academica 2012
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3409482/ https://www.ncbi.nlm.nih.gov/pubmed/22879770 http://dx.doi.org/10.4137/BII.S8963

Ejemplares similares

Sentiment Analysis of Suicide Notes: A Shared Task
por: Pestian, John P., et al.
Publicado: (2012)

Fast Explainable Recommendation Model by Combining Fine-Grained Sentiment in Review Data
por: Wang, Ying, et al.
Publicado: (2022)

Using Ensemble Models to Classify the Sentiment Expressed in Suicide Notes
por: McCart, James A., et al.
Publicado: (2012)

A Hybrid Approach to Sentiment Sentence Classification in Suicide Notes
por: Sohn, Sunghwan, et al.
Publicado: (2012)

Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification
por: Luyckx, Kim, et al.
Publicado: (2012)

Suicide Note Sentiment Classification: A Supervised Approach Augmented by Web Data
por: Xu, Yan, et al.
Publicado: (2012)

The Last Sentiments of Suicides: II. Bad Sentiments
por: de Boismont, A. Brierre
Publicado: (1851)

The Last Sentiments of Suicides: III. Mixed Sentiments
por: de Boismont, A. Brierre
Publicado: (1851)

One for “All”: a unified model for fine-grained sentiment analysis under three tasks
por: Lu, Heng-yang, et al.
Publicado: (2021)

The Last Sentiments of Suicides
por: de Boismont, A. Brierre
Publicado: (1851)

Toward fine-grained phenotyping of suicidal behavior: the role of suicidal subtypes
por: Bernanke, JA, et al.
Publicado: (2017)

The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model
por: Pan, Wenhao, et al.
Publicado: (2022)

“When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets
por: Daniulaityte, Raminta, et al.
Publicado: (2016)

Deep cascaded multitask framework for detection of temporal orientation, sentiment and emotion from suicide notes
por: Ghosh, Soumitra, et al.
Publicado: (2022)

Feature level fine grained sentiment analysis using boosted long short-term memory with improvised local search whale optimization
por: Krosuri, Lakshmi Revathi, et al.
Publicado: (2023)

Suicides as a response to adverse market sentiment (1980-2016)
por: Agrrawal, Pankaj, et al.
Publicado: (2017)

Gradually focused fine-grained sketch-based image retrieval
por: Zhu, Ming, et al.
Publicado: (2019)

Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic
por: Mamidi, Ravali, et al.
Publicado: (2019)

Analysis of QTL for Grain Size in a Rice Chromosome Segment Substitution Line Z1392 with Long Grains and Fine Mapping of qGL-6
por: Zhang, Ting, et al.
Publicado: (2020)

Discovering Long COVID Symptom Patterns: Association Rule Mining and Sentiment Analysis in Social Media Tweets
por: Matharaarachchi, Surani, et al.
Publicado: (2022)

Fine-Grained Processing Towards HL-LHC Computing in ATLAS
por: Benjamin, Doug, et al.
Publicado: (2018)

Fine-grained processing towards HL-LHC computing in ATLAS
por: Benjamin, Douglas, et al.
Publicado: (2018)

Fine-grained statistical structure of speech
por: Deloche, François
Publicado: (2020)

Calibration of the CHARM fine-grained calorimeter
por: Dorenbosch, Jheroen, et al.
Publicado: (1986)

BERT’s sentiment score for portfolio optimization: a fine-tuned view in Black and Litterman model
por: Colasanto, Francesco, et al.
Publicado: (2022)

Fine Structure of Tibetan Kefir Grains and Their Yeast Distribution, Diversity, and Shift
por: Lu, Man, et al.
Publicado: (2014)

What’s In a Note: Construction of a Suicide Note Corpus
por: Pestian, John P., et al.
Publicado: (2012)

Fine mapping of two grain chalkiness QTLs sensitive to high temperature in rice
por: Yang, Weifeng, et al.
Publicado: (2021)

Comparison of Different Algorithms for Sentiment Analysis: Psychological Stress Notes
por: Yoon, Sunmoo, et al.
Publicado: (2017)

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
por: Prottasha, Nusrat Jahan, et al.
Publicado: (2022)

HAS: Hybrid Analysis of Sentiments for the perspective of customer review summarization
por: Kaur, Gagandeep, et al.
Publicado: (2022)

Long-term Effects of the COVID-19 Pandemic on Public Sentiments in Mainland China: Sentiment Analysis of Social Media Posts
por: Tan, Hao, et al.
Publicado: (2021)

Metadata for fine-grained processing at ATLAS
por: Cranshaw, Jack, et al.
Publicado: (2016)

Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study
por: Melton, Chad A, et al.
Publicado: (2022)

Hybrid Granularities Transformer for Fine-Grained Image Recognition
por: Yu, Ying, et al.
Publicado: (2023)

Fine-grain parallel processing on commodity platforms
por: Boosten, M, et al.
Publicado: (1999)

Sentiment in nursing notes as an indicator of out-of-hospital mortality in intensive care patients
por: Waudby-Smith, Ian E. R., et al.
Publicado: (2018)

Exploring Misclassification Information for Fine-Grained Image Classification
por: Wang, Da-Han, et al.
Publicado: (2021)

Notes on the Influence of the Seasons on Suicide
por: Richards, Vincent
Publicado: (1877)

Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes
por: Ganesan, Kavita, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_346tl1ol8uvucd8dbsrspcle93