Knowledge Graph Enhanced Aspect-Level Sentiment Analysis

2023/12/02 by Kavita Sharma, Sharma, Kavita, Ritu Patel +3
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Sentiment Analysis and Opinion Mining #Text and Document Classification Technologies #Topic Modeling

paper · pdf · doi:10.48550/arxiv.2312.10048

openalex publication_date 2023/12/02 · openalex created_date 2023/12/20 · openalex updated_date 2026/07/28

Abstract

In this paper, we propose a novel method to enhance sentiment analysis by addressing the challenge of context-specific word meanings. It combines the advantages of a BERT model with a knowledge graph based synonym data. This synergy leverages a dynamic attention mechanism to develop a knowledge-driven state vector. For classifying sentiments linked to specific aspects, the approach constructs a memory bank integrating positional data. The data are then analyzed using a DCGRU to pinpoint sentiment characteristics related to specific aspect terms. Experiments on three widely used datasets demonstrate the superior performance of our method in sentiment classification.

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