Hierarchical Keyword Generation Method for Low-Resource Social Media Text
The exponential growth of social media text information presents a challenging issue in terms of retrieving valuable information efficiently. Utilizing deep learning models, we can automatically generate keywords that express core content and topics of social media text, thereby facilitating the ret...
Auteurs principaux: | Xinyi Guan, Shun Long |
---|---|
Format: | Article |
Langue: | English |
Publié: |
MDPI AG
2023-11-01
|
Collection: | Information |
Sujets: | |
Accès en ligne: | https://www.mdpi.com/2078-2489/14/11/615 |
Documents similaires
-
Keywords, morpheme parsing and syntactic trees: features for text complexity assessment
par: Dmitry A. Morozov, et autres
Publié: (2024-06-01) -
Formation of the Cultural Code of a Generation: Keywords of Poetic Texts in Elementary School (Russian Empire — USSR)
par: N. A. Afanasyeva, et autres
Publié: (2020-12-01) -
Multistage Mixed-Attention Unsupervised Keyword Extraction for Summary Generation
par: Di Wu, et autres
Publié: (2024-03-01) -
Arabic Texts Classification Based on Keywords Extraction Technique
par: S. kadhem, et autres
Publié: (2017-02-01) -
Automatically Generated Keywords: A Comparison to Author-Generated Keywords in the Sciences
par: Charlie D. Hurt
Publié: (2010-06-01)