Results 31 to 40 of about 592,124 (303)
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.
openaire +3 more sources
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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The Role of Text Pre-processing in Sentiment Analysis [PDF]
, 2013 It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining ...
Liu, X +5 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
doaj +1 more source
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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Research on manufacturing text classification based on improved genetic algorithm
Brazilian Archives of Biology and TechnologyAccording to the features of texts, a text classification model is proposed. Base on this model, an optimized objective function is designed by utilizing the occurrence frequency of each feature in each category.
Zhou Kaijun, Tong Yifei
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Social Media Text Classification by Enhancing Well-Formed Text Trained Model
Journal of ICT Research and Applications, 2016 Social media are a powerful communication tool in our era of digital information. The large amount of user-generated data is a useful novel source of data, even though it is not easy to extract the treasures from this vast and noisy trove.
Phat Jotikabukkana +3 more
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Generative Multi-Task Learning for Text Classification
IEEE Access, 2020 Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains. In this paper, a generative multi-task learning (MTL) approach for text classification and categorization is proposed, which ...
Wei Zhao, Hui Gao, Shuhui Chen, Nan Wang
doaj +1 more source
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
FEBS Letters, EarlyView.This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source
Automatic Arabic Text Classification [PDF]
, 2008 Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language.
Khorsheed, M. S. +4 more
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