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CoRR, 2018 Confidential text corpora exist in many forms, but do not allow arbitrary sharing. We explore how to use such private corpora using privacy preserving text analytics. We construct typical text processing applications using appropriate privacy preservation techniques (including homomorphic encryption, Rademacher operators and secure computation). We set
Leif W. Hanlen +3 more
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ELMo-CNN-BiGRU Dual-Channel Text Sentiment Classification Model [PDF]
Jisuanji gongcheng, 2022 Text sentiment classification helps users make better decisions by analyzing and reasoning subjective texts with emotional colors.Addressing the difficulty in adjusting the word vector according to the context information in traditional sentiment ...
WU Di, WANG Ziyu, ZHAO Weichao
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Feature-enhanced text-inception model for Chinese long text classification
Scientific Reports, 2023 To solve the problem regarding unbalanced distribution of multi-category Chinese long texts and improve the classification accuracy thereof, a data enhancement method was proposed.
Guo Yang +4 more
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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
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Short Text Classification Using Contextual Analysis
IEEE Access, 2021 Micro blogging tools provide a real time service for the public to express opinions, to broadcast news and information and offer an opportunity to comment and respond to such output. Word usage in social media is continually evolving.
Sami Al Sulaimani, Andrew Starkey
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Converting numerical classification into text classification
Artificial Intelligence, 2003 Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional feature-vector-based learning methods, one could treat the presence or absence of a word as a Boolean feature and use these binary-valued features together with the numerical features.
Sofus A. Macskassy +3 more
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Multilabel Text Classification with Label-Dependent Representation
Applied Sciences, 2023 Assigning predefined classes to natural language texts, based on their content, is a necessary component in many tasks in organizations. This task is carried out by classifying documents within a set of predefined categories using models and ...
Rodrigo Alfaro +2 more
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An Overview of Automatic Text Classification [PDF]
بازیابی دانش و نظامهای معنایی, 2022 Nowadays, various online resources are growing and disseminating rapidly. In order to organize these resources, attempts have been made to use automatic classification, which often uses statistical algorithms and machine learning. Recently, attention has
Reza Dehkhodaie, Atefeh Sharif
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Simple-Random-Sampling-Based Multiclass Text Classification Algorithm
The Scientific World Journal, 2014 Multiclass text classification (MTC) is a challenging issue and the corresponding MTC algorithms can be used in many applications. The space-time overhead of the algorithms must be concerned about the era of big data.
Wuying Liu, Lin Wang, Mianzhu Yi
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Classification of Text, Automatic [PDF]
, 2006 Automatic text classification (ATC) is a discipline at the crossroads of information retrieval (IR), machine learning (ML), and computational linguistics (CL), and consists in the realization of text classifiers, i.e. software systems capable of assigning texts to one or more categories, or classes, from a predefined set.
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