pyResearchInsights—An open‐source Python package for scientific text analysis

• DOI: 10.1002/ece3.8098
• Publication Date: 2021-09-17T09:49:13Z
• Authors: Sarthak J. Shetty; Vijay Ramesh
• Keywords: Python; Conservation Biology; Biodiversity hotspot

Abstract With an increasing number of scientific articles published each year, there is a need to synthesize and obtain insights across ever‐growing volumes literature. Here, we present pyResearchInsights , novel open‐source automated content analysis package that can be used analyze abstracts within natural language processing framework. The collects from repositories, identifies topics research discussed in these abstracts, presents interactive concept maps visualize topics. To showcase the utilities this package, two examples, specific field ecology conservation biology. First, demonstrate end‐to‐end functionality by presenting 1,131 pertaining birds Tropical Andes. Our results suggest large proportion avian biodiversity hotspot pertains species distributions, climate change, plant ecology. Second, retrieved analyzed 22,561 eight journals biology identify twelve global research. shows policy landscape are focal We further examined how conservation‐associated varied five hotspots. Lastly, compared with existing tools carry out analysis, show our has wider provides seldom exist other tools.