Results 1 to 10 of about 6,130,823 (341)
Embarrassingly Simple Unsupervised Aspect Extraction [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 We present a simple but effective method for aspect identification in sentiment analysis. Our unsupervised method only requires word embeddings and a POS tagger, and is therefore straightforward to apply to new domains and languages. We introduce Contrastive Attention (CAt), a novel single-head attention mechanism based on an RBF kernel, which gives a ...
Tulkens, Stéphan +1 more
core +10 more sources
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations [PDF]
arXiv, 2023 Existing aspect extraction methods mostly rely on explicit or ground truth aspect information, or using data mining or machine learning approaches to extract aspects from implicit user feedback such as user reviews. It however remains under-explored how the extracted aspects can help generate more meaningful recommendations to the users.
Chen, Minmin +3 more
arxiv +5 more sources
A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis [PDF]
IEEE Access, 2020 Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in natural language processing (NLP). Individuals, private and government institutions are increasingly using media sources for decision making.
Jaafar Zubairu Maitama +4 more
doaj +3 more sources
Lifelong Learning CRF for Supervised Aspect Extraction [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 2: Short Papers), 2017 This paper makes a focused contribution to supervised aspect extraction. It shows that if the system has performed aspect extraction from many past domains and retained their results as knowledge, Conditional Random Fields (CRF) can leverage this ...
Liu, Bing, Shu, Lei, Xu, Hu
core +5 more sources
Automatic Aspect Extraction from Scientific Texts
, 2023 Being able to extract from scientific papers their main points, key insights, and other important information, referred to here as aspects, might facilitate the process of conducting a scientific literature review.
Batura, Tatiana +2 more
core +4 more sources
Enhancing Aspect Extraction for Hindi [PDF]
Proceedings of The 4th Workshop on e-Commerce and NLP, 2021 Aspect extraction is not a well-explored topic in Hindi, with only one corpus having been developed for the task. In this paper, we discuss the merits of the existing corpus in terms of quality, size, sparsity, and performance in aspect extraction tasks using established models.
Alok Debnath +2 more
openaire +2 more sources
Efficient Utilization of Dependency Pattern and Sequential Covering for Aspect Extraction Rule Learning [PDF]
Journal of ICT Research and Applications, 2020 The use of dependency rules for aspect extraction tasks in aspect-based sentiment analysis is a promising approach. One problem with this approach is incomplete rules. This paper presents an aspect extraction rule learning method that combines dependency
Fariska Zakhralativa Ruskanda +2 more
doaj +3 more sources
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction [PDF]
arXiv, 2018 One key task of fine-grained sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extraction using deep learning. Unlike other highly sophisticated supervised deep learning models, this paper proposes a novel and yet simple CNN model employing two ...
Hu Xu, B. Liu, Lei Shu, Philip S. Yu
arxiv +3 more sources
Arabic Aspect Extraction Based on Stacked Contextualized Embedding With Deep Learning [PDF]
IEEE Access, 2022 The exponential growth of the internet and a multi-fold increase in social media users in the last decade have resulted in a massive growth of unstructured data.
Arwa Saif Fadel +2 more
openalex +2 more sources
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture [PDF]
, 2017 The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed opinions in customer reviews in a fine-grained way, valuable opportunities and insights for customers and businesses can be gained.
AP Aprosio +7 more
arxiv +3 more sources