Few-Shot Methods for Aspect-Level Sentiment Analysis

Few-Shot Methods for Aspect-Level Sentiment Analysis

In this paper, we explore the approaches to the problem of cross-domain few-shot classification of sentiment aspects. By cross-domain few-shot, we mean a setting where the model is trained on large data in one domain (for example, hotel reviews) and is intended to perform on another (for example, re...

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Bibliographic Details
Main Author:	Aleksander Wawer
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Information
Subjects:	few-shot cross-domain aspect-based sentiment analysis
Online Access:	https://www.mdpi.com/2078-2489/15/11/664
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