Results 21 to 30 of about 110,262 (250)

Aspect Term Extraction with History Attention and Selective Transformation [PDF]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Aspect Term Extraction (ATE), a key sub-task in Aspect-Based Sentiment Analysis, aims to extract explicit aspect expressions from online user reviews. We present a new framework for tackling ATE. It can exploit two useful clues, namely opinion summary and aspect detection history.
Xin Li 0056, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang   +4 more
openaire   +2 more sources

SmartTips: Online Products Recommendations System Based on Analyzing Customers Reviews

Applied Sciences, 2022
Online customers’ opinions represent a significant resource for both customers and enterprises to extract much information that helps them make the right decision. Finding relevant data while searching the internet is a big challenge for web users, known
Noaman M. Ali, Abdullah Alshahrani, Ahmed M. Alghamdi, Boris Novikov   +3 more
doaj   +1 more source

ASPECT EXTRACTION IN E-COMMERCE USING LATENT DIRICHLET ALLOCATION (LDA) WITH TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF)

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2022
Social media is a common thing that people use. Posts or comments found on social media describe someone’s feelings and opinions so there have to be important topics that can be extracted from social media.
Satyawan Agung Nugroho, Fitra A Bachtiar, Randy Cahya Wihandika   +2 more
doaj   +1 more source

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction [PDF]

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
يهدف استخراج مصطلح الجانب (ATE) إلى تحديد جميع مصطلحات الجانب في الجملة وعادة ما يتم نمذجته كمشكلة وضع العلامات على التسلسل. ومع ذلك، لا يمكن للطرق القائمة على وضع العلامات على التسلسل الاستفادة الكاملة من المعنى العام للجملة بأكملها ولديها قيود في معالجة التبعيات بين التسميات.
Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang   +4 more
openaire   +1 more source

Design and Implementation of Aspect-Based Sentiment Analysis Task

Computer Sciences & Mathematics Forum, 2023
This paper presents the design and implementation of a deep-learning-based aspect-level sentiment analysis model for the aspect term extraction and sentiment polarity classification of Chinese text comments.
Ningyi Zhang
doaj   +1 more source

Unsupervised Neural Aspect Search with Related Terms Extraction

CoRR, 2020
The tasks of aspect identification and term extraction remain challenging in natural language processing. While supervised methods achieve high scores, it is hard to use them in real-world applications due to the lack of labelled datasets. Unsupervised approaches outperform these methods on several tasks, but it is still a challenge to extract both an ...
Timur Sokhin, Maria Khodorchenko, Nikolay Butakov   +2 more
openaire   +2 more sources

Improving sentiment analysis with learning concepts from concept, patterns lexicons and negations

Ain Shams Engineering Journal, 2022
The way of expressing sentiment (−ve/+ve) in the form of textual information depends on the way of thinking of human beings. Identifying aspect extraction and sentiment polarity from written texts is a crucial task.
Anima Pradhan, Manas Ranjan Senapati, Pradip Kumar Sahu   +2 more
doaj   +1 more source

Bridge-Based Active Domain Adaptation for Aspect Term Extraction [PDF]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021
As a fine-grained task, the annotation cost of aspect term extraction is extremely high. Recent attempts alleviate this issue using domain adaptation that transfers common knowledge across domains. Since most aspect terms are domain-specific, they cannot be transferred directly. Existing methods solve this problem by associating aspect terms with pivot
Zhuang Chen 0002, Tieyun Qian
openaire   +1 more source

Cross-Domain Aspect Term Extraction Fusing Global and Local Semantics [PDF]

Jisuanji gongcheng
Aspect Term Extraction (ATE) is a critical task in aspect-level sentiment analysis, and extraction and annotation costs are extremely high. When training and testing samples come from different domains, the performance of traditional methods often ...
LIU Dage, YOU Jinguo, GENG Qiqi
doaj   +1 more source

Mining aspects of customer’s review on the social network

Journal of Big Data, 2019
This study represents an efficient method for extracting product aspects from customer reviews and give solutions for inferring aspect ratings and aspect weights.
Tu Nguyen Thi Ngoc, Ha Nguyen Thi Thu, Viet Anh Nguyen   +2 more
doaj   +1 more source