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 51–75 of 92 papers

TitleStatusHype
Enhancing Review Comprehension with Domain-Specific Commonsense—0
Adversarial Training for Aspect-Based Sentiment Analysis with BERTCode1
Multilingual aspect clustering for sentiment analysisCode0
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment AnalysisCode1
Coupling Global and Local Context for Unsupervised Aspect Extraction—0
Opinion aspect extraction in Dutch childrens diary entries—0
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRFCode0
Unsupervised Neural Aspect Extraction with Sememes—0
AspeRa: Aspect-Based Rating Prediction Based on User Reviews—0
Robust to Noise Models in Natural Language Processing TasksCode0
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
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment AnalysisCode1
Training Neural Networks for Aspect Extraction Using Descriptive Keywords Only—0
Learning multilingual topics through aspect extraction from monolingual texts—0
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach—0
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning—0
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly SupervisedCode0
Aspect and Sentiment Aware Abstractive Review Summarization—0
Implicit and Explicit Aspect Extraction in Financial Microblogs—0
Double Embeddings and CNN-based Sequence Labeling for Aspect ExtractionCode0
Using Aspect Extraction Approaches to Generate Review Summaries and User Profiles—0
Aspect Extraction and Sentiment Classification of Mobile Apps using App-Store Reviews—0
Multi-Domain Aspect Extraction Using Support Vector Machines—0
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extractionCode1
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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