Tag: hamlet

By Avishek Majumder & Priya Chetty on October 22, 2018 No Comments

Correspondence analysis is a diagnostic tool which helps to present the content of a single text or the context unit profiles containing the joint frequency.

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By Avishek Majumder & Priya Chetty on October 22, 2018 No Comments

Hierarchical clustering uses methods to segregate the texts according to the similar vocabularies and then similar words or context are clustered together.

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By Avishek Majumder & Priya Chetty on September 26, 2018 No Comments

The software has different file formats or extensions depending upon the type of analysis. Therefore, it is very important to know the use of every file format and the mode of collection of data.

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By Avishek Majumder & Priya Chetty on September 26, 2018 No Comments

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.

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By Avishek Majumder & Priya Chetty on August 9, 2018 No Comments

This article shows the application of one of the other multidimensional scaling methods Individual Differences Scaling (INDSCAL) using Hamlet II. INDSCAL compares the co-occurrence of matrices obtained from comparable search lists.

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By Avishek Majumder & Priya Chetty on July 20, 2018 No Comments

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.

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By Avishek Majumder & Priya Chetty on July 13, 2018 No Comments

Hamlet II helps in quantitative analysis of text. It helps assess the joint occurrences or recurrence of word frequencies in a vocabulary list or in content.

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This article presents the steps to perform frequency analyses which are, keyword in-context or KWIC and graphical analysis of wordlist and compare wordlist.

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