The rapid development of big data era incurs the generation huge amount day by in various fields. Due to large-scale and high-dimensional characteristics these data, it is often difficult achieve better decision-making practical applications. Therefore, an efficient analytical method urgently necessary. For feature engineering, selection seems be important research topic which anticipated selec...

Abstract Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes domains, including credit-risk assessment and medical diagnostics. Consequently, AI increasingly affect humans, yet many state-of-the-art lack transparency thus, deny the individual’s “right to explanation”. As a remedy, researchers practitioners have developed explainable AI, which provides reasoni...

Sentiment analysis is to extract the opinion of the user from of the text documents. Sentiment classification using machine learning methods face problem of handling huge number of unique terms in a feature vector for the classification. Thus it is required to eliminate the irrelevant and noisy terms from the feature vector. Feature selection methods reduce the feature size by selecting promine...