As the public seeks greater accountability and transparency from machine learning
algorithms, the research literature on methods to explain algorithms and their outputs has …

In this paper, we present a novel approach for n-gram generation in text classification. The a-
priori algorithm is adapted to prune word sequences by combining three feature selection …

Devices reachable on the Internet pose varying levels of risk to their owners and the wider
public, depending on their role and functionality, which can be considered their class …

Text clustering is one of the important technical bases of natural language processing, and
ensemble clustering improves the robustness of text clustering. According to the existing …

Text classification is a fundamental problem in the field of natural language processing. Text
classification mainly focuses on giving more importance to all the relevant features that help …

YouTube's recommendation system can make people become radicalized. Conspiracy
theory videos are one of the problematic contents. The goal of this thesis is to find out to …

This paper presents research in neural network approach for text messages categorization
of collaborative learning skill in an online discussion. Although a neural network is a popular …