Simple Approaches of Sentiment Analysis via Ensemble Learning

2015 ◽  
pp. 631-639 ◽  
Author(s):  
Tawunrat Chalothom ◽  
Jeremy Ellman
Keyword(s):  
Sentiment Analysis ◽  
Ensemble Learning

scholarly journals Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content

Algorithms ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 83 ◽  
Author(s):  
Giannis Haralabopoulos ◽  
Ioannis Anagnostopoulos ◽  
Derek McAuley
Keyword(s):  
Deep Learning ◽  
Sentiment Analysis ◽  
Ensemble Learning ◽  
Affective Computing ◽  
Binary Classification ◽  
User Generated Content ◽  
Emotional Information ◽  
Multiple Classifiers ◽  
Different Levels

Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently cannot be accurately described by a single emotion class. Multilabel classifiers can categorize human-generated content in multiple emotional classes. Ensemble learning can improve the statistical, computational and representation aspects of such classifiers. We present a baseline stacked ensemble and propose a weighted ensemble. Our proposed weighted ensemble can use multiple classifiers to improve classification results without hyperparameter tuning or data overfitting. We evaluate our ensemble models with two datasets. The first dataset is from Semeval2018-Task 1 and contains almost 7000 Tweets, labeled with 11 sentiment classes. The second dataset is the Toxic Comment Dataset with more than 150,000 comments, labeled with six different levels of abuse or harassment. Our results suggest that ensemble learning improves classification results by 1.5 % to 5.4 % .

scholarly journals Sentiment analysis: Bayesian Ensemble Learning

2014 ◽  
Vol 68 ◽  
pp. 26-38 ◽  
Author(s):  
E. Fersini ◽  
E. Messina ◽  
F.A. Pozzi
Keyword(s):  
Sentiment Analysis ◽  
Ensemble Learning

Sentiment analysis of Chinese online reviews using ensemble learning framework

2018 ◽  
Vol 22 (S2) ◽  
pp. 3043-3058
Author(s):  
Jiafeng Huang ◽  
Yun Xue ◽  
Xiaohui Hu ◽  
Huixia Jin ◽  
Xin Lu ◽  
...  
Keyword(s):  
Sentiment Analysis ◽  
Ensemble Learning ◽  
Online Reviews ◽  
Learning Framework

The Impact of Ensemble Learning in Sentiment Analysis under Domain Shift

2021 ◽  
Author(s):  
Can Ozbey ◽  
Berke Dilekoglu ◽  
Sevim Aciksoz
Keyword(s):  
Sentiment Analysis ◽  
Ensemble Learning ◽  
The Impact
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