Abstract: Methods, systems, and techniques for automatically assessing credit risk of a counterparty are disclosed. A credit risk assessment method comprises: quantifying a relevance of news topics to one or more credit risk keywords; determining one or more relevant news topics that are relevant to the one or more credit risk keywords; obtaining a plurality of news articles each tagged with one or more news topics and having an associated sentiment; determining a relevant news article as a news article tagged with the one or more relevant news topics; and assessing a credit risk of a counterparty based at least in part on the sentiment of the relevant news article.

Abstract: The disclosure includes a method for constructing and indexing a database of anonymous visitor tracking. Implementations of the disclosed methods may utilize a client-side script, first-party cookies, and canonical name records to track the visitor across affiliated websites hosted on different domain names. The disclosure also includes a system for constructing and indexing a database of anonymous visitor tracking. In one implementation, the system includes a network interface device, at least one memory storing instructions, and at least one processor that executes the instructions to receive, determine, generate and transmit first-party cookie information.

Abstract: The disclosure generally relates to method for constructing and indexing a database of anonymous visitor tracking. Some embodiments of the disclosed methods may include a client-side script, first-party cookies, and canonical name records to track the visitor across affiliated websites hosted on different domain names. The disclosure also relates to a system for constructing and indexing a database of anonymous visitor tracking, the system comprising a network interface device, at least one memory storing instructions, and at least one processor that executes the instructions to receive, determine, generate and transmit first-party cookie information.