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Found 5 papers, 2 papers with code
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis
Sentiment analysis is often a crowdsourcing task prone to subjective labels given by many annotators.
A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining
User-generated content from social media is produced in many languages, making it technically challenging to compare the discussed themes from one domain across different cultures and regions.
SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining
In this paper, we demonstrate how these methods can be used to display correlated topic models on social media texts using SocialVisTUM, our proposed interactive visualization toolkit.
Classification of Consumer Belief Statements From Social Media
For scenario b) we compare abstract class labels given by the domain expert as baseline and by automatic hierarchical clustering.
An Evaluation of Progressive Neural Networksfor Transfer Learning in Natural Language Processing
A major challenge in modern neural networks is the utilization of previous knowledge for new tasks in an effective manner, otherwise known as transfer learning.
