Results 251 to 260 of about 6,040,759 (312)

Multi-label text classification via secondary use of large clinical real-world data sets. [PDF]

Sci Rep
Veeranki SPK, Abdulnazar A, Kramer D, Kreuzthaler M, Lumenta DB.   +4 more
europepmc   +1 more source

LLM-BCgrading: Large language model-based Chinese medical long text classification for bladder cancer grade prediction. [PDF]

Digit Health
Pan X, Wen L, Li Y, Zhang Y, Lu M.
europepmc   +1 more source

Evaluating large language models for health-related text classification tasks with public social media data. [PDF]

J Am Med Inform Assoc
Guo Y, Ovadje A, Al-Garadi MA, Sarker A.
europepmc   +1 more source

[Medical text classification model integrating medical entity label semantics]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Wei L, Zhao D, Qin L, Liu Y, Shen Y, Ye C.   +5 more
europepmc   +1 more source

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. [PDF]

Proc Conf Assoc Comput Linguist Meet
Jain V, Rungta M, Zhuang Y, Yu Y, Wang Z, Gao M, Skolnick J, Zhang C.   +7 more
europepmc   +1 more source

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Deep Learning--based Text Classification

ACM Computing Surveys, 2020
Deep learning--based models have surpassed classical machine learning--based approaches in various text classification tasks, including sentiment analysis, news categorization, question answering, and natural language inference.
Shervin Minaee, E. Cambria, Jianfeng Gao
semanticscholar   +1 more source

How to Fine-Tune BERT for Text Classification?

China National Conference on Chinese Computational Linguistics, 2019
Language model pre-training has proven to be useful in learning universal language representations. As a state-of-the-art language model pre-training model, BERT (Bidirectional Encoder Representations from Transformers) has achieved amazing results in ...
Chi Sun, Xipeng Qiu, Yige Xu, Xuanjing Huang   +3 more
semanticscholar   +1 more source

Text Classification

2017
In this chapter, a supervised automatic text documents classification using the fuzzy decision trees technique is proposed. Whatever the algorithm used in the fuzzy decision trees, there must be a criterion for the choice of discriminating attribute at the nodes to partition.
Ben Elfadhl Mohamed Ahmed, Ben Abdessalem Wahiba   +1 more
openaire   +2 more sources

HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

ACM Trans. Inf. Syst., 2021
Short text classification has been widely explored in news tagging to provide more efficient search strategies and more effective search results for information retrieval. However, most existing studies, concentrating on long text classification, deliver
Tianchi Yang, Linmei Hu, C. Shi, Houye Ji, Xiaoli Li, Liqiang Nie   +5 more
semanticscholar   +1 more source

Classification of Text Documents

The Computer Journal, 1998
Summary: The exponential growth of the internet has led to a great deal of interest in developing useful and efficient tools and software to assist users in searching the Web. Document retrieval, categorization, routing and filtering can all be formulated as classification problems.
Li, Y. H., Jain, A. K.
openaire   +2 more sources