A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention.

Maria Mihaela Trusca; D Wassenberg; Flavius Frasincar; Rommert Dekker

doi:10.1007/978-3-030-50578-3_25

A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention.

Maria Mihaela Trusca, D Wassenberg, Flavius Frasincar, Rommert Dekker

Research output: Chapter/Conference proceeding › Chapter › Academic

29 Citations (Scopus)

Original language	English
Title of host publication	20th International Conference on Web Engineering (ICWE 2020)
Place of Publication	Switzerland
Publisher	Springer-Verlag
Pages	365-380
Number of pages	16
ISBN (Print)	9783030505776
DOIs	https://doi.org/10.1007/978-3-030-50578-3_25
Publication status	Published - 2020

Publication series

Series	Lecture Notes in Computer Science
Volume	0302-9743

Research programs

ESE - E&MS

Access to Document

10.1007/978-3-030-50578-3_25

Cite this

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title = "A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention.",

author = "Trusca, {Maria Mihaela} and D Wassenberg and Flavius Frasincar and Rommert Dekker",

year = "2020",

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Trusca, MM, Wassenberg, D, Frasincar, F & Dekker, R 2020, A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention. in 20th International Conference on Web Engineering (ICWE 2020). Springer-Verlag, Switzerland, Lecture Notes in Computer Science, vol. 0302-9743, pp. 365-380. https://doi.org/10.1007/978-3-030-50578-3_25

A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention. / Trusca, Maria Mihaela; Wassenberg, D; Frasincar, Flavius et al.
20th International Conference on Web Engineering (ICWE 2020). Switzerland: Springer-Verlag, 2020. p. 365-380 (Lecture Notes in Computer Science, Vol. 0302-9743).

Research output: Chapter/Conference proceeding › Chapter › Academic

TY - CHAP

T1 - A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention.

AU - Trusca, Maria Mihaela

AU - Wassenberg, D

AU - Frasincar, Flavius

AU - Dekker, Rommert

PY - 2020

Y1 - 2020

UR - https://doi.org/10.1007/978-3-030-50578-3_25

U2 - 10.1007/978-3-030-50578-3_25

DO - 10.1007/978-3-030-50578-3_25

M3 - Chapter

SN - 9783030505776

T3 - Lecture Notes in Computer Science

SP - 365

EP - 380

BT - 20th International Conference on Web Engineering (ICWE 2020)

PB - Springer-Verlag

CY - Switzerland

ER -

A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention.

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Research programs

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