most citedLatent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2018

Wide and Deep Learning for Peer-to-Peer Lending

Kaveh Bastani, Elham Asgari, Hamed Namavari

This paper proposes a two-stage scoring approach to help lenders decide their fund allocations in the peer-to-peer (P2P) lending market. The existing scoring approaches focus on on…

cs.IR2018★ 1 cited

Latent Dirichlet Allocation (LDA) for Topic Modeling of the CFPB Consumer Complaints

Kaveh Bastani, Hamed Namavari, Jeffry Shaffer

A text mining approach is proposed based on latent Dirichlet allocation (LDA) to analyze the Consumer Financial Protection Bureau (CFPB) consumer complaints. The proposed approach…