ABSTRACT
This chapter focuses on quantitative, bottom-up methods of corpus investigation. It utilizes one form of Topic Modelling to explore the content of the BEE4 journals. Application of the Topic Modelling methodology that we have used to the BEE4 corpus journals yields 50 topic lists in each of the four journals. The four journals are: Agriculture, Ecosystems and Environment (AEE), Global Environmental Change (GEC), Plant Science (PS), and Resource and Energy Economics (REE). AEE, GEC and REE share three words (level, relat, time). AEE, PS and REE share two (product, result). This means there are connections between all the journals except between GEC and PS. Differences between the journals have been revealed, with some evidence pointing to the distinctive characteristics of the two interdisciplinary journals. The use of 300+ word ‘texts’ in this version of Topic Modelling gave us the opportunity to see how spread topics were across different journal articles. The chapter concludes with a diachronic study.
