Text analysis, or text frequency analysis, is an important and common text-based analysis using Wordlist. In this analysis, the transcript or the text file is assessed for occurrence or repetition or frequency of words. This is known as the wordlist analysis in Hamlet II.
This article explains the application of PINDIS separately in Hamlet II. It also presents an example using PINDIS analysis to understand the application in depth. Accessing PINDIS separately is possible only after creating the input file using ‘Select’ function.
PINDIS method applies a series of variations by increasing flexibility in each iteration. The aim is to maximize the optimization. It provides better specifics when compared to the INDSCAL results.
This article focuses on the application and interpretation of non-metric Multidimensional Scaling (MDS) method Michigan-Nijmegen Integrated Smallest Space Analysis (MINISSA) in Hamlet II.
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.
Hamlet II is an approach to quantitative text-based analytical software. This article reviews the difference between them and Hamlet II. The table below presents various text-based analytical software available commercially.
This article talks about the application of Singular Value Decomposition (SVD) technique MDPREF using Hamlet II. It is performed on the same matrix of profiles or context units saved while performing joint frequency analysis.