Results 151 to 160 of about 448,200 (183)

Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features

IEEE International Conference on Tools with Artificial Intelligence, 2022
We tackle Aspect Term Extraction (ATE), an important natural language processing task that automatically identifies words of domain-specific aspects.
Jiaxiang Chen, Yu Hong, Qingting Xu, Jianmin Yao, Guodong Zhou   +4 more
semanticscholar   +1 more source

A Language-Agnostic Framework with Bidirectional Syntactic Graph Convolutional Networks for Cross-Lingual Aspect Term Extraction

2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta), 2022
Aspect term extraction is a vital sub-task of sentiment analysis, which aims to extract explicit product attributes in customer reviews. Unfortunately, many languages lack sufficient labeled data, so researchers focus on Cross-lingual Aspect Term ...
Yaxin Cui, Baojie Tian, Junlin Wang, Yan Zhou, Songlin Hu   +4 more
semanticscholar   +1 more source

Unsupervised Neural Aspect Extraction with Related Terms

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   +1 more source

Hybrid HAN‐CNN with aspect term extraction for sentiment analysis using product review

International Conference on Climate Informatics
In this article, an intensive sentiment analysis approach termed Hierarchical attention‐convolutional neural network (HAN‐CNN) has been proposed using product reviews. Firstly, the input product review is subjected to Bidirectional Encoder Representation
P. Kalaivaani, K. Sathyarajasekaran, N. Krishnamoorthy, T. Kumaravel   +3 more
semanticscholar   +1 more source

Automatic Few-Shot Selection on In-Context Learning for Aspect Term Extraction

IIAI International Conference on Advanced Applied Informatics
In this paper, we handle aspect term extraction with In-Context Learning (ICL) as the target task. ICL is a method for learning Large Language Models. Instead of updating the model's parameters, prompts are provided to guide it to perform a target task ...
Koki Imazato, Kazutaka Shimada
semanticscholar   +1 more source

Syntax-Aware Representation for Aspect Term Extraction

2019
Aspect Term Extraction (ATE) plays an important role in aspect-based sentiment analysis. Syntax-based neural models that learn rich linguistic knowledge have proven their effectiveness on ATE. However, previous approaches mainly focus on modeling syntactic structure, neglecting rich interactions along dependency arcs. Besides, these methods highly rely
Jingyuan Zhang, Guangluan Xu, Xinyi Wang, Xian Sun, Tinglei Huang   +4 more
openaire   +1 more source

Sentiment analysis in aspect term extraction for mobile phone tweets using machine learning techniques

International Journal of Pervasive Computing and Communications, 2021
Purpose This paper aims to focus on extracting aspect terms on mobile phone (iPhone and Samsung) tweets using NLTK techniques on multiple aspect extraction is one of the challenges.
Venkatesh Naramula, K. A
semanticscholar   +1 more source

Aspect Term Extraction Using Deep Learning-Based Approach on Indonesian Restaurant Reviews

International Conference on Information and Communicatiaon Technology, 2021
Aspect term extraction is a fundamental process in aspect-based sentiment analysis. Aspect term extraction aims to identify the review text span that contains the aspect mentions.
Rachmansyah Adhi Widhianto, A. Romadhony
semanticscholar   +1 more source

Aspect Based Sentiment Analysis in Bangla Dataset Based on Aspect Term Extraction

2020
Recent years have seen rapid growth of research on sentiment analysis. In aspect-based sentiment analysis, the idea is to take sentiment analysis a step further and find out what exactly someone is talking about, and then measuring the sentiment if she or he likes or dislikes it.
Sabrina Haque, Tasnim Rahman, Asif Khan Shakir, Md. Shohel Arman, Khalid Been Badruzzaman Biplob, Farhan Anan Himu, Dipta Das, Md Shariful Islam   +7 more
openaire   +1 more source

DomSent: Domain-Specific Aspect Term Extraction in Aspect-Based Sentiment Analysis

2019
In recent research aspect-based sentiment analysis has played a vital role in identifying user’s opinions from the unstructured natural text. One of the most critical subtasks in aspect-based sentiment analysis is to extract the most prominent aspect terms.
Ganpat Singh Chauhan, Yogesh Kumar Meena
openaire   +1 more source