ERIC Number: EJ1146129
Record Type: Journal
Publication Date: 2017
Abstractor: As Provided
Text Analysis of Chemistry Thesis and Dissertation Titles
Scalfani, Vincent F.
Issues in Science and Technology Librarianship, n86 Spr 2017
Programmatic text analysis can be used to understand patterns and reveal trends in data that would otherwise be difficult or impossible to uncover with manual coding methods. This work uses programmatic text analysis, specifically term frequency counts, to study nearly 10,000 chemistry thesis and dissertation titles from 1911-2015. The thesis and dissertation titles were collected from nine major research universities across the southeastern United States. The libraries of all nine are members of the Association of Southeastern Research Libraries (ASERL). Text analysis scripts were written in both MATLAB and Mathematica and used to extract the most common words and phrases from the titles. Some of the most common terms appearing in chemistry thesis and dissertation titles included "synthesis," "spectra," "reaction," "application," "mass spectra," and "nuclear magnetic resonance." Word usage over time was studied and used to reveal general research trends in chemistry. All data, programming scripts, and instruction methods are provided openly to the community. This article will be of interest to researchers and librarians interested in text analysis and chemistry research trends.
Descriptors: Chemistry, Theses, Doctoral Dissertations, Scientific Research, Data Analysis, Research Universities, Trend Analysis, Academic Libraries
Science and Technology Section, Association of College and Research Libraries. 50 East Huron Street, Chicago, IL 60611. Web site: http://www.istl.org
Publication Type: Journal Articles; Reports - Research; Information Analyses
Education Level: Higher Education; Postsecondary Education
Audience: Researchers; Media Staff
Authoring Institution: N/A
Identifiers - Location: North Carolina; Georgia; Louisiana; Alabama; Florida; Kentucky; Mississippi; South Carolina