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 21–30 of 92 papers

TitleStatusHype
Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models—0
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews—0
SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites—0
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 Recommendations—0
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment—0
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction—0
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InstructABSALaptop (F1)92.3—Unverified
2ACELaptop (F1)87.4—Unverified
3PH-SUMLaptop (F1)86.09—Unverified
4BATLaptop (F1)85.57—Unverified
5DE-CNNRestaurant (F1)85.2—Unverified
6Wei et al. (2020)Laptop (F1)82.7—Unverified
#ModelMetricClaimedVerifiedStatus
1ACERestaurant (F1)80.3—Unverified
2Wei et al. (2020)Restaurant (F1)72.7—Unverified
3DE-CNNRestaurant (F1)68.28—Unverified
#ModelMetricClaimedVerifiedStatus
1DE-CNNLaptop (F1)81.59—Unverified
#ModelMetricClaimedVerifiedStatus
1DE-CNNRestaurant (F1)74.37—Unverified
#ModelMetricClaimedVerifiedStatus
1RACL - LaptopsF123—Unverified