[HTML][HTML] Text classification algorithms: A survey

K Kowsari, K Jafari Meimandi, M Heidarysafa, S Mendu… - Information, 2019 - mdpi.com
… First, we cover traditional methods of text classification, such as Rocchio … The first term
in Equation (1) improves the recall while the second term improves the precision of the word …

[HTML][HTML] The influence of preprocessing on text classification using a bag-of-words representation

Y HaCohen-Kerner, D Miller, Y Yigal - PloS one, 2020 - journals.plos.org
… This study addresses topic-based classification based on the … of preprocessing methods
can improve the accuracy results … improved the classification accuracy in most of the cases, …

A survey on data augmentation for text classification

M Bayer, MA Kaufhold, C Reuter - ACM Computing Surveys, 2022 - dl.acm.org
… Sophisticated techniques can additively improve the accuracy baseline for different … and
lower case and the modification of punctuation. The highest absolute accuracy improvement by …

[HTML][HTML] Comparing automated text classification methods

J Hartmann, J Huppertz, C Schamp… - International Journal of …, 2019 - Elsevier
… However, to the best of our knowledge we cover a … all methods when increasing the number
of classes for content … Assuming text classification accuracy is comparable across music …

Eda: Easy data augmentation techniques for boosting performance on text classification tasks

J Wei, K Zou - arXiv preprint arXiv:1901.11196, 2019 - arxiv.org
… On five text classification tasks, we show that EDA improves … ing set achieved the same
accuracy as normal training with all … We hope that EDA’s simplicity makes a compelling case for …

Feature selection for text classification: A review

X Deng, Y Li, J Weng, J Zhang - Multimedia Tools and Applications, 2019 - Springer
… of improving the performance of text categorization algorithms … -based measure, which takes
into account three cases when … and accurate techniques for text categorization, as described …

[HTML][HTML] Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods

G Kou, P Yang, Y Peng, F Xiao, Y Chen… - Applied Soft Computing, 2020 - Elsevier
… The increasing amount of digitized text from sources such as … reviews improves the value
of text classification [1], [2], [3]. … accuracy is small and is used to measure different aspects of …

A diagnostic study of explainability techniques for text classification

P Atanasova - … Explainable Methods for Complex Reasoning over Text, 2024 - Springer
… To this end, we start at the instance level and compute the Average Precision (AP) of
produced … In this case, we test whether instances with similar rationales also receive similar …

WGAN-based synthetic minority over-sampling technique: Improving semantic fine-grained classification for lung nodules in CT images

Q Wang, X Zhou, C Wang, Z Liu, J Huang, Y Zhou… - IEEE …, 2019 - ieeexplore.ieee.org
… more accurate computerized retrieval of relevant cases [18], lesion subtype categorization
[19], … , particularly for the cases with larger oversampling rates, ie, the subordinate classes with …

… Investigation of the Performances of Different Machine Learning Classifiers with SMOTE‐ENN Oversampling Technique and Hyperparameter Optimization for …

M Muntasir Nishat, F Faisal, I Jahan Ratul… - Scientific …, 2022 - Wiley Online Library
… can also improve the performance in this type of case, as … improve the results, researchers
used sampling techniques … insufficient in many cases, and a prompt and accurate diagnosis of …