Results 41 to 50 of about 6,040,759 (312)
Automatic Classification of Text Databases through Query Probing [PDF]
, 2000 Many text databases on the web are "hidden" behind search interfaces, and their documents are only accessible through querying. Search engines typically ignore the contents of such search-only databases.
D. Hawking +11 more
core +7 more sources
Survey of text classification methods based on deep learning
网络与信息安全学报, 2020 Text classification is a research hot spot in the field of natural language processing,which is mainly used in public opinion detection,news classification and other fields.In recent years,artificial neural networks has good performance in many tasks of ...
Sijia DU, Haining YU, Hongli ZHANG
doaj +3 more sources
Recurrent Convolutional Neural Networks for Text Classification
AAAI Conference on Artificial Intelligence, 2015 Text classification is a foundational task in many NLP applications. Traditional text classifiers often rely on many human-designed features, such as dictionaries, knowledge bases and special tree kernels.
Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao
semanticscholar +1 more source
A Fine-Tuned BERT-Based Transfer Learning Approach for Text Classification
Journal of Healthcare Engineering, 2022 Text Classification problem has been thoroughly studied in information retrieval problems and data mining tasks. It is beneficial in multiple tasks including medical diagnose health and care department, targeted marketing, entertainment industry, and ...
Rukhma Qasim +3 more
semanticscholar +1 more source
Comparative analysis of text classification algorithms for automated labelling of quranic verses [PDF]
, 2017 The ultimate goal of labelling a Quranic verse is to determine its corresponding theme. However, the existing Quranic verse labelling approach is primarily depending on the availability of Quranic scholars who have expertise in Arabic language and ...
Adeleke, Abdullah +3 more
core +2 more sources
Multilabel Text Classification Using Multilayer DGAT
IEEE Access, 2022 Text classification is one of the most fundamental tasks in text data analysis. Generally, textual data are extensive in scale and complex in the inherent relationship, leading to low accuracy in traditional classification models.
Hui Chen +4 more
doaj +1 more source
Advances in Mathematical Physics, 2021 As a means of regulating people’s code of conduct, law has a close relationship with text, and text data has been growing exponentially. Managing and classifying huge text data have become a huge challenge.
Jingliang Sun
doaj +1 more source
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Zero-shot text classification (0Shot-TC) is a challenging NLU problem to which little attention has been paid by the research community. 0Shot-TC aims to associate an appropriate label with a piece of text, irrespective of the text domain and the aspect (
Wenpeng Yin, Jamaal Hay, Dan Roth
semanticscholar +1 more source
"Low-Resource" Text Classification: A Parameter-Free Classification Method with Compressors
Annual Meeting of the Association for Computational Linguistics, 2023 ,
Zhiying Jiang +5 more
semanticscholar +1 more source
Enhancing Sensitivity Classification with Semantic Features using Word Embeddings [PDF]
, 2017 Government documents must be reviewed to identify any sensitive information they may contain, before they can be released to the public. However, traditional paper-based sensitivity review processes are not practical for reviewing born-digital ...
B Fung +8 more
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