Peer-to-peer (P2P) lending, as a form of debt-based crowdfunding, has received much attention in the past several years. Text, in particular, is a prevalent feature but much less understood. While there have been some studies on the role of text in this context, these studies typically consider text as a control variable, and use small, manually coded samples. Our study is one of the first to u...

Abstract Aiming at the problem that current feature selection algorithm can not adapt to both supervised learning data and unsupervised data, had poor interpretability, this paper proposed a hybrid model based on machine knowledge graph. By idea of hybridization, used algorithms, algorithms graph technology from perspective features text features. Firstly, data-based weights were obtained throu...

this paper compares the value relevance of book value and dividends versus book value and reported earnings. the main purpose of this study explains which of dividends, book value and earnings are more value relevance. thus, we have examined 98 firms of tehran stock exchange over a period 1377-1382. our methodology of examining the information content of various income statement and balance she...

The Unit Graphs (UGs) framework is a graph-based knowledge representation (KR) formalism that is designed to allow for the representation, manipulation, query, and reasoning over linguistic knowledge of the Explanatory Combinatorial Dictionary of the Meaning-Text Theory (MTT). This paper introduces the UGs framework, and overviews current published outcomes. It first introduces rationale of thi...

This article introduces a model-based approach to distributed computing for multinomial logistic (softmax) regression. We treat counts for each response category as independent Poisson regressions via plug-in estimates for fixed effects shared across categories. The work is driven by the high-dimensional-response multinomial models that are used in analysis of a large number of random counts. O...

Dein (2002) comments on our editorial on explanatory models (Bhui & Bhugra, 2002), but fails to apprehend the conceptual flaws in his assertions, promotes a complacent attitude to the challenges of cultural psychiatry, and is threatened by a patient’s explanatory model that differs from his own. Dein agrees with us that explanatory models are not stable, and are dynamic, complex, shifting entit...

Dein (2002) comments on our editorial on explanatory models (Bhui & Bhugra, 2002), but fails to apprehend the conceptual flaws in his assertions, promotes a complacent attitude to the challenges of cultural psychiatry, and is threatened by a patient’s explanatory model that differs from his own. Dein agrees with us that explanatory models are not stable, and are dynamic, complex, shifting entit...

Dein (2002) comments on our editorial on explanatory models (Bhui & Bhugra, 2002), but fails to apprehend the conceptual flaws in his assertions, promotes a complacent attitude to the challenges of cultural psychiatry, and is threatened by a patient’s explanatory model that differs from his own. Dein agrees with us that explanatory models are not stable, and are dynamic, complex, shifting entit...

Dein (2002) comments on our editorial on explanatory models (Bhui & Bhugra, 2002), but fails to apprehend the conceptual flaws in his assertions, promotes a complacent attitude to the challenges of cultural psychiatry, and is threatened by a patient’s explanatory model that differs from his own. Dein agrees with us that explanatory models are not stable, and are dynamic, complex, shifting entit...