Results 21 to 30 of about 379,557 (154)
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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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
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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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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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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
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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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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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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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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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IEEE Access, 2020 This study focused on the topic of predicting “proactive personality”. With 901 participants selected by cluster sampling method, targeted short-answer questions text and participants' social media post text (Weibo) were obtained while ...
Peng Wang +6 more
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