The Needle-in-a-Haystack Method (NHM)
The Needle-in-a-Haystack Method (NHM) is being developed as a collaborative project between members of the Department of Slavic Studies at Brown University and the Institute of the Czech National Corpus at Charles University in Prague, Czech Republic. Its aim is two-fold: to develop a quantitative method (software) for text analysis (KWords) and a set of Best Practice Guidelines for the software for the humanities students and scholars. We explore what and to what extent the application is capable of facilitating text analysis. The project studies the latter with a variety of texts from the Czech National Corpus including political speeches and literary texts. KWords now also allows analysis of texts in English.
Since the inception of the research collaboration the authors have developed the Multi-level Discourse Prominence Analysis (2018, 2019). Their recent study concern quantitavie methods to sort out topic-related words and register-related word.
NHM emerged in the fall of 2012. It links several disciplines: corpus linguistics, discourse analysis, Slavic linguistics, social sciences, and digital humanities.