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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–60 of 92 papers

Title	Date	Tasks	Status	Hype
Enhancing Review Comprehension with Domain-Specific Commonsense	Apr 6, 2020	Aspect ExtractionKnowledge Distillation	—Unverified	0
Adversarial Training for Aspect-Based Sentiment Analysis with BERT	Jan 30, 2020	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Multilingual aspect clustering for sentiment analysis	Dec 9, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	0
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis	Nov 5, 2019	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Coupling Global and Local Context for Unsupervised Aspect Extraction	Nov 1, 2019	Aspect ExtractionSentence	—Unverified	0
Opinion aspect extraction in Dutch childrens diary entries	Oct 21, 2019	Aspect Extraction	—Unverified	0
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF	Sep 3, 2019	Aspect ExtractionWord Embeddings	CodeCode Available	0
Unsupervised Neural Aspect Extraction with Sememes	Aug 1, 2019	Aspect ExtractionAspect Term Extraction and Sentiment Classification	—Unverified	0
AspeRa: Aspect-Based Rating Prediction Based on User Reviews	Aug 1, 2019	Aspect ExtractionPrediction	—Unverified	0
Robust to Noise Models in Natural Language Processing Tasks	Jul 1, 2019	Aspect Extractionnamed-entity-recognition	CodeCode Available	0

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All datasets SemEval-2014 Task-4 SemEval 2015 Task 12 SemEval 2014 Task 4 Sub Task 1 SemEval 2016 Task 5 Sub Task 1 Slot 2 YASO - YELP

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	InstructABSA	Laptop (F1)	92.3	—	Unverified
2	ACE	Laptop (F1)	87.4	—	Unverified
3	PH-SUM	Laptop (F1)	86.09	—	Unverified
4	BAT	Laptop (F1)	85.57	—	Unverified
5	DE-CNN	Restaurant (F1)	85.2	—	Unverified
6	Wei et al. (2020)	Laptop (F1)	82.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ACE	Restaurant (F1)	80.3	—	Unverified
2	Wei et al. (2020)	Restaurant (F1)	72.7	—	Unverified
3	DE-CNN	Restaurant (F1)	68.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DE-CNN	Laptop (F1)	81.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DE-CNN	Restaurant (F1)	74.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RACL - Laptops	F1	23	—	Unverified