Results 11 to 20 of about 592,124 (303)
Self-supervised Regularization for Text Classification
Text classification is a widely studied problem and has broad applications. In many real-world problems, the number of texts for training classification models is limited, which renders these models prone to overfitting.
Meng Zhou, Zechen Li, Pengtao Xie
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Comparison of text-image fusion models for high school diploma certificate classification
File scanned documents are commonly used in this digital era. Text and image extraction of scanned documents play an important role in acquiring information. A document may contain both texts and images.
Chandra Ramadhan Atmaja Perdana +2 more
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Automated classification of text sentiment [PDF]
In "2017 Annual Conference of the South African Institute of Computer Scientists and Information"
Emmanuel Dufourq, Bruce A. Bassett
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Revisiting Text Guide, a Truncation Method for Long Text Classification
The quality of text classification has greatly improved with the introduction of deep learning, and more recently, models using attention mechanism.
Krzysztof Fiok +5 more
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Automatic Classification of Text Complexity
This work introduces an automatic classification system for measuring the complexity level of a given Italian text under a linguistic point-of-view.
Valentino Santucci +3 more
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Summary of text classification methods
How to effectively classify text has become a hot topic.Firstly,the concept of text classification,word segmentation,feature extraction and text classification methods were introduced,and the research actuality was summarized.And then the challenges of ...
You YU, Yu FU, Xiaoping WU
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Text classification technique is advancing rapidly alongside AI technology, showing signs of maturity. Moreover, there are always many unrestricted constraints that text classification must deal with in practical settings.
Myagmarsuren Orosoo +6 more
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text-classification: pre-release [PDF]
A presentation/tutorial on text classification from the basics to ...
Zichen Wang
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Feature-enhanced text-inception model for Chinese long text classification
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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ELMo-CNN-BiGRU Dual-Channel Text Sentiment Classification Model [PDF]
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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