Results 11 to 20 of about 44,902,161 (285)
Heterogeneous Graph Neural Network for Short Text Classification
Applied Sciences, 2022 Aiming at the sparsity of short text features, lack of context, and the inability of word embedding and external knowledge bases to supplement short text information, this paper proposes a text, word and POS tag-based graph convolutional network (TWPGCN)
Bingjie Zhang, Qing He, Damin Zhang
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Concept-based Short Text Classification and Ranking [PDF]
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014 Most existing approaches for text classification represent texts as vectors of words, namely ``Bag-of-Words.'' This text representation results in a very high dimensionality of feature space and frequently suffers from surface mismatching. Short texts make these issues even more serious, due to their shortness and sparsity.
Fang Wang 0019 +3 more
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A Short Text Classification Method Based on Convolutional Neural Network and Semantic Extension [PDF]
International Journal of Computational Intelligence Systems, 2020 In order to solve the problem that traditional short text classification methods do not perform well on short text due to the data sparsity and insufficient semantic features, we propose a short text classification method based on convolutional neural ...
Haitao Wang +3 more
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A Sequential Graph Neural Network for Short Text Classification
Algorithms, 2021 Short text classification is an important problem of natural language processing (NLP), and graph neural networks (GNNs) have been successfully used to solve different NLP problems.
Ke Zhao +4 more
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Search-based short-text classification
Dianzi Jishu Yingyong, 2018 For short-text classification in case the traditional classification algorithm does not work well, this paper proposes a search-based method employing NaiveBayes.
Kang Wei +4 more
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Heterogeneous Graph-Convolution-Network-Based Short-Text Classification
Applied SciencesWith the development of online interactive media platforms, a large amount of short text has appeared on the internet. Determining how to classify these short texts efficiently and accurately is of great significance.
Jiwei Hua +5 more
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Text classification method review [PDF]
, 2007 With the explosion of information fuelled by the growth of the World Wide Web it is no longer feasible for a human observer to understand all the data coming in or even classify it into categories.
Tiwari, Ashutosh +3 more
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A Multiscale Interactive Attention Short Text Classification Model Based on BERT
IEEE AccessText classification tasks aim to comprehend and classify text content into specific classifications. This task is crucial for interpreting unstructured text, making it a foundational task in the field of Natural Language Processing(NLP).
Lu Zhou +4 more
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Short Text Classification with Tolerance-Based Soft Computing Method
Algorithms, 2022 Text classification aims to assign labels to textual units such as documents, sentences and paragraphs. Some applications of text classification include sentiment classification and news categorization.
Vrushang Patel +3 more
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Short Text Classification Model Combining Knowledge Graph and Attention Mechanism [PDF]
Jisuanji gongcheng, 2021 Concerning the semantic ambiguity caused by the lack of context information,this paper proposes a neural network model,which combines knowledge graph and attention mechanism.By using the existing knowledge base to obtain the concept set related to the ...
DING Chenhui, XIA Hongbin, LIU Yuan
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