… Text classification is an associated technology that combines … to improve the performance
of text classification for Chinese … , and the number of correctly classified texts in this category is …

… Among all text classifications, short text classification is a … , the MLkNN classifier combining
unary grammar features … is classified by combining the adjacent sentences and text features. …

… set resulted in significant performance improvement. We believe that improving entity recognition
… In this work, we propose a novel clinical text classification method which combines rule-…

… algorithms by combining multiple classifiers. Experiments … combining multiple classifiers
is to obtain better performance … When the dataset is classified using individual classifiers, the …

… MLHTC can be formulated by combining multiple binary classification … text classification
research has been exploiting possible label dependencies to improve predictive performance. …

… find 𝑘 training texts approaching a specific text to be classified … [58] combine data enrichment
– with semantics in RFs for … used for the text classification task, which improve performance …

… Automated text categorization has been measured as a crucial technique for … text papers
were utilized for classify text with supervised categorizations. This article used these classifiers …

… We also analyze the impact of the use and combination of … improve performance, if compared
with traditional hierarchical … represent the true classification path and the classified path, …

… that in order to enhance performance of text classification models, a … performance. Most of
these methods are applied to short … captured by BiLSTM, and the combination of these two …

… text classification framework in section 2. Experiments and results, which demonstrate the
performance of … Finally, we concatenate the constructed vectors from the three sets to become …