Results 51 to 60 of about 6,040,759 (312)
BERT Models for Arabic Text Classification: A Systematic Review
Applied Sciences, 2022 Bidirectional Encoder Representations from Transformers (BERT) has gained increasing attention from researchers and practitioners as it has proven to be an invaluable technique in natural languages processing.
A. Alammary
semanticscholar +1 more source
Search-based short-text classification
Dianzi Jishu Yingyong, 2018 For short-text classification in case the traditional classification algorithm does not work well, this paper proposes a search-based method employing NaiveBayes.
Kang Wei +4 more
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Explicit Interaction Model towards Text Classification
, 2018 Text classification is one of the fundamental tasks in natural language processing. Recently, deep neural networks have achieved promising performance in the text classification task compared to shallow models. Despite of the significance of deep models,
Chin, Zhaozheng +5 more
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Impact of convolutional neural network and FastText embedding on text classification
Multimedia tools and applications, 2022 Efficient word representation techniques (word embeddings) with modern machine learning models have shown reasonable improvement on automatic text classification tasks.
Muhammad Umer +6 more
semanticscholar +1 more source
Weakly-Supervised Neural Text Classification
, 2018 Deep neural networks are gaining increasing popularity for the classic text classification task, due to their strong expressive power and less requirement for feature engineering. Despite such attractiveness, neural text classification models suffer from
Han, Jiawei +3 more
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A Complete Process of Text Classification System Using State-of-the-Art NLP Models
Computational Intelligence and Neuroscience, 2022 With the rapid advancement of information technology, online information has been exponentially growing day by day, especially in the form of text documents such as news events, company reports, reviews on products, stocks-related reports, medical ...
Varun Dogra +6 more
semanticscholar +1 more source
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
doaj +1 more source
Text Classification For Authorship Attribution Analysis
, 2013 Authorship attribution mainly deals with undecided authorship of literary texts. Authorship attribution is useful in resolving issues like uncertain authorship, recognize authorship of unknown texts, spot plagiarism so on. Statistical methods can be used
Elayidom, M. Sudheep +3 more
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Adversarial Multi-task Learning for Text Classification
, 2017 Neural network models have shown their promising opportunities for multi-task learning, which focus on learning the shared layers to extract the common and task-invariant features.
Huang, Xuanjing +2 more
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A Long-text Classification Method of Chinese News based on BERT and CNN
IEEE Access, 2022 Text Classification is an important research area in natural language processing (NLP) that has received a considerable amount of scholarly attention in recent years.
Xinying Chen, Peimin Cong, Shuo Lv
semanticscholar +1 more source