SOTAVerified

Aspect Extraction

Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.

Papers

Showing 2130 of 92 papers

TitleStatusHype
Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models0
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews0
SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites0
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble ApproachesCode0
Automatic Aspect Extraction from Scientific TextsCode0
A Wide Evaluation of ChatGPT on Affective Computing TasksCode0
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations0
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment0
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction0
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InstructABSALaptop (F1)92.3Unverified
2ACELaptop (F1)87.4Unverified
3PH-SUMLaptop (F1)86.09Unverified
4BATLaptop (F1)85.57Unverified
5DE-CNNRestaurant (F1)85.2Unverified
6Wei et al. (2020)Laptop (F1)82.7Unverified
#ModelMetricClaimedVerifiedStatus
1ACERestaurant (F1)80.3Unverified
2Wei et al. (2020)Restaurant (F1)72.7Unverified
3DE-CNNRestaurant (F1)68.28Unverified
#ModelMetricClaimedVerifiedStatus
1DE-CNNLaptop (F1)81.59Unverified
#ModelMetricClaimedVerifiedStatus
1DE-CNNRestaurant (F1)74.37Unverified
#ModelMetricClaimedVerifiedStatus
1RACL - LaptopsF123Unverified