Performing literature review using text mining, Part II: Expanding domain knowledge with abbreviation identification
Dazhi Yang, Jihoon Hong · 2017
An abbreviation is often used in scientific communications when a concept is needed to be addressed repeatedly. Although some concepts can be described with a single word, e.g., mechanics, phrases are commonly required for more elaborated concepts, e.g., quantum mechanics. It is believed that by extracting abbreviations from full texts on a scientific topic could help expand the domain knowledge of a novice. A text mining algorithm is used to extract the abbreviations from 247 full texts on predictive maintenance - a manufacturing topic - hosted on ScienceDirect. It is found that the abbreviations extracted are useful for generating domain-specific dendrograms, which can provide valuable information during literature review on a scientific area. This paper is the second of a multi-part study, namely, performing literature review using text mining.