Application of Natural Language Processing Algorithms to the Task of Automatic Classification of Russian Scientific Texts
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[1] Bin Xu,et al. A new SVM Chinese text of classification algorithm based on the semantic kernel , 2011, 2011 International Conference on Multimedia Technology.
[2] L E Sapozhnikova,et al. Text classification using convolutional neural network , 2019 .
[3] Martti Juhola,et al. Stemming and lemmatization in the clustering of finnish text documents , 2004, CIKM '04.
[4] Serkan Günal,et al. The impact of preprocessing on text classification , 2014, Inf. Process. Manag..
[5] Rachid Sammouda. A Comparative Study of Effective Supervised Learning Methods on Arabic Text Classification , 2018 .
[6] Tomas Mikolov,et al. Bag of Tricks for Efficient Text Classification , 2016, EACL.
[7] Aurélien Géron,et al. Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems , 2017 .
[8] Christopher Conrad,et al. SAR and optical time series for crop classification , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[9] Nafissa Yussupova,et al. Applying of Sentiment Analysis for Texts in Russian Based on Machine Learning Approach , 2012 .
[10] Ibrahim S. I. Abuhaiba,et al. Combining Different Approaches to Improve Arabic Text Documents Classification , 2017 .
[11] Mi Lu,et al. Comparisons and Selections of Features and Classifiers for Short Text Classification , 2017 .
[12] Kuo-Chen Chou,et al. Boosting classifier for predicting protein domain structural class. , 2005, Biochemical and biophysical research communications.
[13] Zhiyong Luo,et al. Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts , 2016, COLING.
[14] Yuan Luo,et al. Classification of Data from Electronic Nose Using Gradient Tree Boosting Algorithm , 2017, Sensors.
[15] Henryk Maciejewski,et al. Deep learning methods for subject text classification of articles , 2017, 2017 Federated Conference on Computer Science and Information Systems (FedCSIS).
[16] Pradeep Ravikumar,et al. Word Mover’s Embedding: From Word2Vec to Document Embedding , 2018, EMNLP.
[17] Ting Liu,et al. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification , 2015, EMNLP.
[18] Sven Behnke,et al. Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition , 2010, ICANN.
[19] Matt J. Kusner,et al. From Word Embeddings To Document Distances , 2015, ICML.
[20] Ankit Srivastava,et al. Automatic Classification of Abusive Language and Personal Attacks in Various Forms of Online Communication , 2017, GSCL.
[21] Thomas Lengauer,et al. Classification with correlated features: unreliability of feature ranking and solutions , 2011, Bioinform..
[22] Victoria Bobicev,et al. Classification of Emotion Words in Russian and Romanian Languages , 2009, RANLP.
[23] Jian-hai Du. Automatic text classification algorithm based on Gauss improved convolutional neural network , 2017, J. Comput. Sci..
[24] Yang Wang,et al. Cost-sensitive boosting for classification of imbalanced data , 2007, Pattern Recognit..
[25] Zhenchang Xing,et al. Ensemble application of convolutional and recurrent neural networks for multi-label text categorization , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[26] Elisabeth Lex,et al. Efficient Cross-Domain Classification of Weblogs , 2010 .
[27] Michal Tomana,et al. Influence of Word Normalization on Text Classification , 2007 .
[28] Irena Koprinska,et al. A neural network based approach to automated e-mail classification , 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).
[29] Teresa Gonçalves,et al. Evaluating preprocessing techniques in a Text Classification problem , 2005 .
[30] Yang Liu,et al. A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm , 2017, Inf. Sci..