Aspect Extraction
32 papers with code • 6 benchmarks • 4 datasets
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.
Benchmarks
These leaderboards are used to track progress in Aspect Extraction
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SemEval-2014 Task-4
Latest papers with no code
SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites
Subsequently, the Hierarchical Aspect-based Opinion Summarization (HAOS) phase enriches this hierarchy with customers' opinions; to be shown to other potential buyers.
A Wide Evaluation of ChatGPT on Affective Computing Tasks
In this work, we widely study the capabilities of the ChatGPT models, namely GPT-4 and GPT-3. 5, on 13 affective computing problems, namely aspect extraction, aspect polarity classification, opinion extraction, sentiment analysis, sentiment intensity ranking, emotions intensity ranking, suicide tendency detection, toxicity detection, well-being assessment, engagement measurement, personality assessment, sarcasm detection, and subjectivity detection.
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations
For the aspect-based recommendation component, the extracted aspects are concatenated with the usual user and item features used by the recommendation model.
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks.
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction
Inspired by the theoretical foundations in domain adaptation [2], we propose a new SSL approach that opts for selecting target samples whose model output from a domain-specific teacher and student network disagree on the unlabelled target data, in an effort to boost the target domain performance.
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach
Opinion mining is the branch of computation that deals with opinions, appraisals, attitudes, and emotions of people and their different aspects.
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning
Aspect-Based Sentiment Analysis (ABSA) aims to provide fine-grained aspect-level sentiment information.
Ensemble Creation via Anchored Regularization for Unsupervised Aspect Extraction
One of the models that we improve upon is ABAE that reconstructs the sentences as a linear combination of aspect terms present in it, In this research we explore how we can use information from another unsupervised model to regularize ABAE, leading to better performance.
Zero-Shot Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) typically requires in-domain annotated data for supervised training/fine-tuning.
Aspect Oriented Suggestion Extraction from Online Reviews
Extracting these suggestions with respect to the aspects that reviewers are not satisfied with, could be used as a potential solution to improve products.
