Incorporating Informative Score For Instance Selection In Semi-supervised Sentiment Classification

Incorporating Informative Score For Instance Selection In Semi-supervised Sentiment Classification

Sentiment classification is a useful tool to classify reviews that contain a wealth of information about sentiments and attitudes towards a product or service. Existing studies are heavily relying on sentiment classification methods that require fully annotated input. However, there are limited labe...

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Bibliographic Details
Main Author: Vivian, Lee Lay Shan
Format: Thesis
Language:English
Published: 2022
Subjects:
QA76.9.M35 Computer science > Mathematics
Online Access:http://eprints.usm.my/60138/
http://eprints.usm.my/60138/1/VIVIAN%20LEE%20LAY%20SHAN%20-%20TESIS24.pdf

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