Text Augmentation For Emotion Classification In Microblog Text Using Similarity Scoring Based On Neural Embedding Models

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Text Augmentation For Emotion Classification In Microblog Text Using Similarity Scoring Based On Neural Embedding Models

Emotion classification can benefit from a larger pool of training data but manually expanding the emotion corpus is labour-intensive and time-consuming. Distant supervision can be used to collect large amount of training data in a short period of time using emotion word hashtags, but the collecte...

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Bibliographic Details
Main Author:	Yong, Kuan Shyang
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QA76.6 Electronic digital computers > Programming
Online Access:	http://eprints.usm.my/59117/ http://eprints.usm.my/59117/1/YONG%20KUAN%20SHYANG%20-%20TESIS.pdf

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