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...
Saved in:
Main Author: | Vivian, Lee Lay Shan |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.usm.my/60138/1/VIVIAN%20LEE%20LAY%20SHAN%20-%20TESIS24.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adoption Of Problem Solving Tools In Manufacturing Sector Of Malaysia Small And Medium Enterprises
by: Low , Rong Quan
Published: (2015) -
Matching Technique for Resource Discovery using PageRank
by: Zarandah, Qasem M.
Published: (2006) -
Mental Card Gaming Protocols
Supportive Of Gameplay Versatility,
Robustness And Efficiency
by: Soo, Wai Han
Published: (2003) -
Classification Of Microarray Datasets Using
Random Forest
by: Ng, Ee Ling
Published: (2009) -
Utilisation of data mining technology within the accounting information system in the public sector
by: Mohd Shaari Abd Rahman