Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text

Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text

Aspect extraction poses a significant challenge in Natural Language Processing (NLP). Extracting explicit and implicit aspects from online text data remains an ongoing challenge despite significant research efforts. Enhancing the accuracy and effectiveness of aspect extraction is an important area f...

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Bibliographic Details
Main Authors: Mikail Muhammad Azman Busst, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, Jayakumar Krishnan, Sridevi Subbiah
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Aspect extraction
aspect-oriented features
ensemble BiLSTM
BERT embeddings
Online Access:https://ieeexplore.ieee.org/document/10379619/

Internet

https://ieeexplore.ieee.org/document/10379619/

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