Results 21 to 30 of about 44,902,161 (285)
Word-Level and Pinyin-Level Based Chinese Short Text Classification
IEEE Access, 2022 Short text classification is an important branch of Natural Language Processing. Although CNN and RNN have achieved satisfactory results in the text classification tasks, they are difficult to apply to the Chinese short text classification because of the
Xinjie Sun, Xingying Huo
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Prompt-Learning for Short Text Classification
CoRR, 2022 In the short text, the extremely short length, feature sparsity, and high ambiguity pose huge challenges to classification tasks. Recently, as an effective method for tuning Pre-trained Language Models for specific downstream tasks, prompt-learning has attracted a vast amount of attention and research.
Yi Zhu 0006 +5 more
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Predicting Self-Reported Proactive Personality Classification With Weibo Text and Short Answer Text
IEEE Access, 2021 Personality assessments are at present nearly entirely dependent on self-reports, and machine learning methods have been rarely applied to this field.
Peng Wang +7 more
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Multiple weak supervision for short text classification [PDF]
Applied Intelligence, 2022 AbstractFor short text classification, insufficient labeled data, data sparsity, and imbalanced classification have become three major challenges. For this, we proposed multiple weak supervision, which can label unlabeled data automatically. Different from prior work, the proposed method can generate probabilistic labels through conditional independent
Li-Ming Chen 0006 +2 more
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Chinese Short Text Classification Algorithm Based on Hybrid Features of Characters and Words [PDF]
Jisuanji kexue, 2022 The rapid development of information technology has lead to massive data of Chinese short texts on the Internet.As such, using classification technology to dig out valuable information from it is a current research hotspot.Compared with Chinese long ...
LIU Shuo, WANG Geng-run, PENG Jian-hua, LI Ke
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Enhancement of Short Text Clustering by Iterative Classification [PDF]
, 2020 30 pages, 2 ...
Md. Rashadul Hasan Rakib +3 more
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A Simple Graph Contrastive Learning Framework for Short Text Classification [PDF]
Short text classification has gained significant attention in the information age due to its prevalence and real-world applications. Recent advancements in graph learning combined with contrastive learning have shown promising results in addressing the ...
Huang, Lan +5 more
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Cognitive Aspects-Based Short Text Representation with Named Entity, Concept and Knowledge
Applied Sciences, 2020 Short text is widely seen in applications including Internet of Things (IoT). The appropriate representation and classification of short text could be severely disrupted by the sparsity and shortness of short text.
Wenfeng Hou, Qing Liu, Longbing Cao
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Distributional Representations of Words for Short Text Classification [PDF]
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015 Traditional supervised learning approaches to common NLP tasks depend heavily on manual annotation, which is labor intensive and time consuming, and often suffer from data sparseness. In this paper we show how to mitigate the problems in short text classification (STC) through word embeddings ‐ distributional representations of words learned from large
Chenglong Ma +3 more
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Short text classification applied to item description: Some methods evaluation
Semina: Ciências Exatas e Tecnológicas, 2022 The increasing demand for information classification based on content in the age of social media and e-commerce has led to the need for automated product classification using their descriptions.
Gilsiley Henrique Darú +3 more
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