Hydrogel flexible sensors are widely used in wearable devices, health care, intelligent
robots and other fields due to their excellent flexibility, biocompatibility and high sensitivity …

High dimensionality of the feature space is one of the problems in the field of text
classification. Identification of optimal subset of features can optimize text classification …

Naive Bayes (NB) is one of the top 10 data mining algorithms due to its simplicity, efficiency
and efficacy. However, both the unrealistic attribute conditional independence assumption …

Internet technologies are emerging very fast nowadays, due to which web pages are
generated exponentially. Web page categorization is required for searching and exploring …

The World Wide Web has revolutionized the way we live, causing the number of web pages
to increase exponentially. The web provides access to a tremendous amount of information …

Naive Bayes (NB) continues to be one of the top 10 data mining algorithms due to its
simplicity, efficiency and efficacy. Numerous enhancements have been proposed to weaken …

We study the literature in major journals and conferences on the usage of shallow learning
and deep learning methods for text classification. Shallow learning techniques such as …

The data-level approach can be used to balance the class distribution in a data set, while
generating synthetic instances in a high-dimensional space is an awful task. Naïve Bayesian …

Numerous enhancements have been proposed to mitigate the attribute conditional
independence assumption in naive Bayes (NB). However, almost all of them only focus on …

Sentiment classification for financial texts is of great importance for predicting stock markets
and financial crises. At present, with the popularity of applications in the field of natural …