Meta-Learner for Amharic Sentiment Classification

Meta-Learner for Amharic Sentiment Classification

The emergence of the World Wide Web facilitates the growth of user-generated texts in less-resourced languages. Sentiment analysis of these texts may serve as a key performance indicator of the quality of services delivered by companies and government institutions. The presence of user-generated tex...

Full description

Bibliographic Details
Main Authors: Girma Neshir, Andreas Rauber, Solomon Atnafu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
ensemble learning
Amharic sentiment classification
stacking
meta-learner
character <i>n</i>-grams
Online Access:https://www.mdpi.com/2076-3417/11/18/8489

Internet

https://www.mdpi.com/2076-3417/11/18/8489

Similar Items