Non-hierarchical cluster analysis is the next step to a hierarchical cluster model. It allows the partitioning of the similar matrices into equal numbers of clusters. It also creates a list of the partitions from the similar matrix generated in the hierarchical cluster.
How to perform hierarchical clustering using Hamlet II?
Hierarchical clustering uses methods to segregate the texts according to the similar vocabularies and then similar words or context are clustered together.
Joint frequencies analysis using Hamlet II
Joint frequencies analysis helps to search inter-connections between a number of keywords or character strings occurring in the text. It produces matrices of joint frequencies of the items of a specified vocabulary list with respect to a suitably chosen unit of context.
Hamlet II is a tool for quantitative textual analysis
Quantitative analysis of textual data has been long used in the field of social sciences research. This includes data collected from open ended surveys and interview questions. Analysis of text-based data helps in assessment of trends in social sciences.
Performing wordlist comparing, KWIC and text profile in Hamlet II
This article presents the steps to perform frequency analyses which are, keyword in-context or KWIC and graphical analysis of wordlist and compare wordlist.