Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification

Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification

Sentiment classification is a natural language processing task to identify opinions expressed in texts such as product or service reviews. In this work, we analyze the effects of different deep-learning model combinations, embedding methods, and tokenization approaches in sentiment classification. W...

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Bibliographic Details
Main Authors: Ali Erkan, Tunga Gungor
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Machine learning
deep neural networks
natural language processing
sentiment classification
word embedding
tokenization
Online Access:https://ieeexplore.ieee.org/document/10332170/

Internet

https://ieeexplore.ieee.org/document/10332170/

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