… Thus, we believe that this study will assist other researchers and professionals … study containing questionable results. Since the results of our study are the guidelines in textclassification…
P Atanasova - … Explainable Methods for Complex Reasoning over Text, 2024 - Springer
… We found that gradient-based explanations are the best for all of the three models and all of the three downstream textclassification tasks that we consider in this work. Other …
A Moschitti, R Basili - European conference on information retrieval, 2004 - Springer
… For Text Categorization (TC) are available fewer and less definitive studies on the use of … of the literature have been carried out to study how some NLP techniques used for indexing …
… study of twelve feature selection metrics evaluated on a benchmark of 229 textclassification … Our primary focus is on obtaining the best overall classification performance regardless of …
AK Uysal, S Gunal - Information processing & management, 2014 - Elsevier
… Common behaviour in textclassificationstudies is to apply alphabetic tokenization, stop-… of the study was the importance of stop-words while most of the textclassificationstudies in …
C Wang, P Nulty, D Lillis - … of the 4th international conference on natural …, 2020 - dl.acm.org
… , to the best of our knowledge few studies have been undertaken to systematically compare … Our work constrains the specific language task to textclassification. We empirically evaluate …
W Zhang, T Yoshida, X Tang - Expert systems with applications, 2011 - Elsevier
… The purpose of this research is to study the effectiveness of different … in textclassification. Here, we would like to reaffirm that textclassification includes both information retrieval and text …
… textclassification papers which will allow researchers to have a fair evaluation of all the past studies … of this step, we found 132 relevant studies related to our area of textclassification. …
S Agarwal, S Godbole, D Punjani… - … Conference on Data …, 2007 - ieeexplore.ieee.org
… bring out and study the effect of different kinds of noise on automatic textclassification. Does … Our experiments show that textclassification algorithms are quite robust even in the …