… evaluation of text classification methods in literary domain. This study compared the … )
in two literary text classification tasks: the eroticism classification of Dickinson's poems and …

… 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 text classification…

… We found that gradient-based explanations are the best for all of the three models and all
of the three downstream text classification tasks that we consider in this work. Other …

… 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 text classification
… Our primary focus is on obtaining the best overall classification performance regardless of …

… Common behaviour in text classification studies is to apply alphabetic tokenization, stop-…
of the study was the importance of stop-words while most of the text classification studies in …

… , to the best of our knowledge few studies have been undertaken to systematically compare
… Our work constrains the specific language task to text classification. We empirically evaluate …

… The purpose of this research is to study the effectiveness of different … in text classification.
Here, we would like to reaffirm that text classification includes both information retrieval and text …

… text classification 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 text classification. …

… bring out and study the effect of different kinds of noise on automatic text classification.
Does … Our experiments show that text classification algorithms are quite robust even in the …