Data Augmentation in Solving Data Imbalance Problems

Data Augmentation in Solving Data Imbalance Problems

This project mainly focuses on the various methods of solving data imbalance problems in the Natural Language Processing (NLP) field. Unbalanced text data is a common problem in many tasks especially the classification task, which leads to the model not being able to predict the minority class well....

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Bibliographic Details
Main Author: Gao, Jie
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2020
Subjects:
Data augmentation
Data imbalance
NLP
Deep learning
Comparison.
Dataförstoring
Data obalans
Textklassificering
Naturlig språkbehandling
Djup lärning.
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289208

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289208

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