Papers with deep learning-based emotion classification model

1 papers
Semi-Automatic Construction and Refinement of an Annotated Corpus for a Deep Learning Framework for Emotion Classification (2020.lrec-1)

Copied to clipboard

Challenge: Existing methods for emotion classification are expensive and require a large corpus of data.
Approach: They propose a method for creating a semi-automatically constructed emotion corpus by correcting errors in the corpus.
Outcome: The proposed method improves the quality of the emotion labels by correcting errors.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations