Hamlet II: Textual quantitative analysis

Text analysis

Studies in social sciences often make use of quantitative text analysis to analyse trends in data, particularly primary data. Quantitative analyses of textual data help in validation statistics, co-occurrences of words/texts, textual trends, and frequency statistics. A number of tools have been developed to help in textual analyses of text based data. Hamlet II is one of the most efficient and user-friendly ones.

Basics of Hamlet II for quantitative text analysis

Hamlet II helps in quantitative analysis of text. It offers a multidimensional scaling approach. It also serves as computer assisted text analysis. It shows the differences of the basis of types of analyses, and ease of usage. This software allows a range of statistical models such as Jaccard coefficient, Sokal’s matching coefficient, and van Eck and Waltman’s proximity, PINDIS, INDSCAL, MDPREF, MRSCAL and MINISSA. Hamlet II also uses critical algorithms for statistical analysis of text. It is compatible with .doc, .docx, .txt, .csv, .pdf and other common file types.

Interface of the Hamlet II software

Hamlet II helps in quantitative analysis of text. It helps assess the joint occurrences or recurrence of word frequencies in... More

Collection of data and data file extensions in Hamlet II

The software has different file formats or extensions depending upon the type of analysis. Therefore, it is very important to... More

Difference between Hamlet II and other text-based analytical software

Hamlet II is an approach to quantitative text-based analytical software. This article reviews the difference between them and Hamlet II.... More

Text frequency or wordlist analysis in Hamlet II

Text analysis, or text frequency analysis, is an important and common text-based analysis using Wordlist. In this analysis, the transcript or... More

Word or text based analysis with Hamlet II

This section will explain numerous descriptive analyses that can be performed for quantitative text analysis. The simplest descriptive analysis is text frequency analysis Wordlist. The articles will explain the steps and methods to conduct Wordlist analysis, along with its interpretations. This section also covers articles on steps to form vocabulary list for the transcripts imported to the software. Graphical presentation of the word frequency has also been covered in this module. Next, it covers the steps to analyze keywords in context and joint frequencies in Hamlet II.

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... More

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... More

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.

Perform a non-hierarchical cluster analysis in Hamlet II

Non-hierarchical cluster analysis is the next step to a hierarchical cluster model. It allows the partitioning of the similar matrices... More

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... More

Cluster and correspondence analysis and multidimensional scaling with Hamlet II

Cluster and correspondence analysis, and Multidimensional scaling  is usefull for presenting critical and graphical analysis. It presents the methods and steps to conduct the models such as PINDIS, INDSCAL, MDPREF, MINISSA and LDA.

Steps to conduct MDPREF using Hamlet II for Singular Value Decomposition (SVD)

This article talks about the application of Singular Value Decomposition (SVD) technique MDPREF using Hamlet II. It is performed on... More

MINISSA in Hamlet II for multidimensional scaling

This article focuses on the application and interpretation of non-metric Multidimensional Scaling (MDS) method Michigan-Nijmegen Integrated Smallest Space Analysis (MINISSA)... More

Perform MRSCAL in Hamlet II for multidimensional scaling

This article explains how to perform metric multidimensional scaling method MRSCAL in Hamlet II. MRSCAL stands for metric scaling.

Application of PINDIS separately in Hamlet II

This article explains the application of PINDIS separately in Hamlet II. It also presents an example using PINDIS analysis to... More

PINDIS in Hamlet II for multidimensional scaling

PINDIS method applies a series of variations by increasing flexibility in each iteration. The aim is to maximize the optimization.... More