Sentic LSTM : a hybrid network for targeted aspect-based sentiment analysis

Sentic LSTM : a hybrid network for targeted aspect-based sentiment analysis

Sentiment analysis has emerged as one of the most popular natural language processing (NLP) tasks in recent years. A classic setting of the task mainly involves classifying the overall sentiment polarity of the inputs. However, it is based on the assumption that the sentiment expressed in a sentence...

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Bibliographic Details
Main Authors: Ma, Yukun, Peng, Haiyun, Khan, Tahir, Cambria, Erik, Hussain, Amir
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Sentiment Analysis
Commonsense Knowledge
Online Access:https://hdl.handle.net/10356/141695
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Institution: Nanyang Technological University
Language: English

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https://hdl.handle.net/10356/141695

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