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 7180 of 92 papers

TitleStatusHype
Double Embeddings and CNN-based Sequence Labeling for Aspect ExtractionCode0
Using Aspect Extraction Approaches to Generate Review Summaries and User Profiles0
Aspect Extraction and Sentiment Classification of Mobile Apps using App-Store Reviews0
Multi-Domain Aspect Extraction Using Support Vector Machines0
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extractionCode1
Basic tasks of sentiment analysis0
Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNNCode0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
Lifelong Learning CRF for Supervised Aspect Extraction0
Aspect Extraction from Product Reviews Using Category Hierarchy Information0
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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