Keyphrase Extraction Using Enhanced Word and Document Embedding-Reference-Cited by-同舟云学术

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Keyphrase Extraction Using Enhanced Word and Document Embedding

Published:2022-08-07 Issue: Volume: Page:1-13
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Alotaibi Fahd Saleh¹,Sharma Saurabh²³,Gupta Vishal³,Gupta Savita³

Affiliation:

1. Faculty of Computing and Information Technology, King Abdulaziz University, 21589 Jeddah, Saudi Arabia

2. Electronics and Computer Engineering Department, Thapar Institute of Engineering and Technology, 147001 Patiala, India

3. Faculty of Engineering and Technology, University Institute of Engineering & Technology, Panjab University, 160014 Chandigarh, India

Funder

Deanship of Scientific Research

King Abdulaziz University

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2022.2103036

Reference49 articles.

1. A. Onan, “Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification,” J. King Saud Univ.Comput. Inf. Sci., Vol. 34, no. 5, pp. 2098–2117, 2022.

2. A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification

3. An ensemble scheme based on language function analysis and feature engineering for text genre classification

4. Two-Stage Topic Extraction Model for Bibliometric Data Analysis Based on Word Embeddings and Clustering

5. Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing unsupervised keyphrase extraction through the integration of structural details in embedding-based approaches;Multimedia Tools and Applications;2024-06-27

2. Analyzing Textual Documents Indexes by Applying Key-Phrases Extraction in Fuzzy Logic Domain Based on A Graphical Indexing Methodology;2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2022-12

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