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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

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Showing 51–75 of 92 papers

TitleStatusHype
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction—0
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines—0
SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites—0
Structured Aspect Extraction—0
Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results—0
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning—0
Training Neural Networks for Aspect Extraction Using Descriptive Keywords Only—0
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning—0
Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis—0
Unsupervised Neural Aspect Extraction with Sememes—0
Unsupervised Neural Aspect Search with Related Terms Extraction—0
Using Aspect Extraction Approaches to Generate Review Summaries and User Profiles—0
Visual Zero-Shot E-Commerce Product Attribute Value Extraction—0
Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer—0
Improving Aspect-Level Sentiment Analysis with Aspect Extraction—0
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification—0
INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis—0
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews—0
Label Correction Model for Aspect-based Sentiment Analysis—0
Learning multilingual topics through aspect extraction from monolingual texts—0
Learning to Extract Cross-Domain Aspects and Understanding Sentiments Using Large Language Models—0
Lifelong Learning CRF for Supervised Aspect Extraction—0
Multi-Domain Aspect Extraction Using Support Vector Machines—0
NILC\_USP: Aspect Extraction using Semantic Labels—0
Improving Aspect Extraction based on Rules through Deep Syntax-Semantics CommunicationCode0
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All datasetsSemEval-2014 Task-4SemEval 2015 Task 12SemEval 2014 Task 4 Sub Task 1SemEval 2016 Task 5 Sub Task 1 Slot 2YASO - YELP

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