Results 41 to 50 of about 379,557 (154)
Hierarchical Interpretation of Neural Text Classification
Computational Linguistics, 2022 Recent years have witnessed increasing interest in developing interpretable models in Natural Language Processing (NLP). Most existing models aim at identifying input features such as words or phrases important for model predictions.
Hanqi Yan, Lin Gui, Yulan He
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Text Clustering as Classification with Llms
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region11 pages, 3 ...
Chen Huang 0007, Guoxiu He
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Six-Granularity Based Chinese Short Text Classification
IEEE Access, 2023 Short text classification is an important task in Natural Language Processing (NLP). The classification result for Chinese short text is always not ideal due to the sparsity problem of them.
Xinjie Sun, Zhifang Liu, Xingying Huo
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Supervised Text Classification using Text Search
CoRR, 2020 Supervised text classification is a classical and active area of ML research. In large enterprise, solutions to this problem has significant importance. This is specifically true in ticketing systems where prediction of the type and subtype of tickets given new incoming ticket text to find out optimal routing is a multi billion dollar industry. In this
Nabarun Mondal, Mrunal Lohia
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Key technology research and model validation of text classification system based on deep learning
Dianxin kexue, 2018 Text classification is very important to text data mining and value exploration.The traditional text classification system has problems of weak feature extraction ability and low classification accuracy.Compared with the traditional text classification ...
Shaomin WANG, Di YANG, Hua REN
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Text Classification with Novelty Detection
CoRR, 2020 This paper studies the problem of detecting novel or unexpected instances in text classification. In traditional text classification, the classes appeared in testing must have been seen in training. However, in many applications, this is not the case because in testing, we may see unexpected instances that are not from any of the training classes.
Qi Qin, Wenpeng Hu, Bing Liu 0001
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Text Classification Using Word-Based PPM Models [PDF]
Computer Science Journal of Moldova, 2006 Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) model for automatic content-based text classification is described.
Victoria Bobicev
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Text Classification Based on Conditional Reflection
IEEE Access, 2019 Text classification is an essential task in many natural language processing (NLP) applications; we know each sentence may have only a few words that play an important role in text classification, while other words have no significant effect on the ...
Yanliang Jin +5 more
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Clustering Analysis within Text Classification Techniques [PDF]
Informatică economică, 2011 The paper represents a personal approach upon the main applications of classification which are presented in the area of knowledge based society by means of methods and techniques widely spread in the literature.
Madalina ZURINI, Catalin SBORA
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TextCNN with Attention for Text Classification
CoRR, 2021 The vast majority of textual content is unstructured, making automated classification an important task for many applications. The goal of text classification is to automatically classify text documents into one or more predefined categories. Recently proposed simple architectures for text classification such as Convolutional Neural Networks for ...
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