Ontology highlight
ABSTRACT:
SUBMITTER: Van Houtan KS
PROVIDER: S-EPMC7660424 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Van Houtan Kyle S KS Gagne Tyler T Jenkins Clinton N CN Joppa Lucas L
Patterns (New York, N.Y.) 20200320 1
Learning from the rapidly growing body of scientific articles is constrained by human bandwidth. Existing methods in machine learning have been developed to extract knowledge from human language and may automate this process. Here, we apply sentiment analysis, a type of natural language processing, to facilitate a literature review in reintroduction biology. We analyzed 1,030,558 words from 4,313 scientific abstracts published over four decades using four previously trained lexicon-based models ...[more]