Background With the rapid accumulation of biological datasets, machine learning methods
designed to automate data analysis are urgently needed. In recent years, so-called topic …

Recent years have seen a burgeoning interest in the involvement of corporate sustainability
(CS) in sustainable development (SD), yet both concepts are fewer and newer in the …

How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

Health care has lagged behind other industries in its use of advanced analytics. The
Veterans Health Administration (VHA) has three decades of experience collecting data …

Background Terminologies that account for variation in language use by linking synonyms
and abbreviations to their corresponding concept are important enablers of high-quality …

Recognizing entity synonyms from text has become a crucial task in many entity-leveraging
applications. However, discovering entity synonyms from domain-specific text corpora (eg …

Big Data and Social Science: Data Science Methods and Tools for Research and Practice,
Second Edition shows how to apply data science to real-world problems, covering all stages …

In this work, we compare different neural topic modeling methods in learning the topical
propensities of different psychiatric conditions from the psychotherapy session transcripts …

Open-ended questions are a common component in surveys and questionnaires that are
used in the social sciences. Such items can provide researchers with insights into …