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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 92 papers

TitleStatusHype
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
Zero-Shot Aspect-Based Sentiment Analysis—0
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach—0
A Rule-Based Approach to Aspect Extraction from Product Reviews—0
Aspect and Sentiment Aware Abstractive Review Summarization—0
Aspect-based Opinion Summarization with Convolutional Neural Networks—0
Aspect Extraction and Sentiment Classification of Mobile Apps using App-Store Reviews—0
Aspect Extraction from Product Reviews Using Category Hierarchy Information—0
Aspect Extraction through Semi-Supervised Modeling—0
Aspect Extraction Using Coreference Resolution and Unsupervised Filtering—0
Aspect Extraction with Automated Prior Knowledge Learning—0
Aspect On: an Interactive Solution for Post-Editing the Aspect Extraction based on Online Learning—0
Aspect Oriented Suggestion Extraction from Online Reviews—0
AspeRa: Aspect-Based Rating Prediction Based on User Reviews—0
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment—0
Basic tasks of sentiment analysis—0
Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis—0
Controlled CNN-based Sequence Labeling for Aspect Extraction—0
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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