Monday, 20 September 2021

Digital Humanities

  Hello Everyone! 


I am Nidhi Jethava and I am a student of Mk Bhavnagar University, department of English. In this blog I am going to summarize wherever I have learned from the course of ‘Introduction to Digital Humanities’ by Havard university. Digital Humanities is the part of the over syllabus and we have to look into that Havard university course. Simultaneously we have to do one another activity is that one thematic activity from the CLiC Activity book.


So let’s put a light some of the topics : 


So before jumping into both the activities I would like to give a brief introduction about Digital Humanities.


What is Digital Humanities ?



Digital humanities (DH) is an area of scholarly activity at the intersection of computing or digital technologies and the disciplines of the humanities. It includes the systematic use of digital resources in the humanities, as well as the analysis of their application. ... DH is also applied in research.


The Harvard course is divided into 5 different chapters. So let's discuss whatever I have learnt from each of them. 


  • First thing is that I don’t have any idea what  Digital Humanities is ? So the first thing I learnt is what Digital Humanities is. 

  • Another thing is how digital libraries work. 

  • metadata and what is the digital library concept.  

  • Also aware about digital museums and arts and first project of the three pairs of shoes 


This is possible by X-ray fluorescence analysis. They used gitits 

[ ? X-radiography ? ]. 


2nd Chapter : 


In this chapter we come to know about project tools and the questions they support. Project is Visualizing Broadway. These projects are very useful for academic purposes. 


In this entire section we come across such a things like 

  • Gephi Demonstration 

  • Explorina Medieval Mery

  • TEI ( Text Encoding Initiative ) and XHL

  • Imperial : Mapping the Russian 

  • Tools for Geographical Analysis. 


3rd is pretty tough to understand for me


It consists of topics like Data can be stored in a variety of different file types. Read on to learn about the major file types that you will encounter in Digital Humanities projects, along with the advantages and limitations of using each one. Specifically, we will cover plain text, CSV, Text, JSON, HTML, XML, Binary, MP3, and WAV file types. 

This entire chapter has topics like 

-Plain Text

-Comma Separated Value (CSV)

-JavaScript Object Notation (JSON)

-Hypertext Markup Language (HTML)

-eXtensible Markup Language (XML)

-Binary Files


This is the example chart of how it works. Which file works in which form is also discussed here. It’s an activity after completing the entire chapter. 



Chapter 4 is quite difficult. In this chapter I have learnt how to do commands. Also come across some of the interesting words like 

command language interpreter (CLI)

character user interface (CUI)


The whole chapter is about how to add commands in a particular session. Last chapters two chapters are very tough because it is for practice. It helps to understand how to do commands. 


So, in nutshell this Havard course is very useful for us to understand what DH is. How does it work ?


2. Themetical  Study : Setting and atmosphere in novels


In this activity we come to know that how Setting and atmosphere is important. In the Activity book we have to do one task. We have to go https://clic.bham.ac.uk/concordance?conc-q=&conc-subset=all&conc-type=whole&kwic-span=-5%3A5&table-filter=&table-type=basic. And we have to search Keywords of Austen’s novels and Dickens’s novels. We have to choose the target corpora and then reference corpora. In the Target corpora we have to choose Jane Austen’s Novels and in Reference Corpora, DNov. And the result will come on our screen. 


We have to poen this bar 


From here we have to choose keywords for this.



We have to enter information like this . 


Result comes like this. 


As explained in the section on keywords in Part I of this Activity Book, a keyword comparison takes the absolute frequencies in a target text and compares them to the frequencies in the reference corpus, while taking the overall number of words in the corpus into account. From the keyword list we cannot always draw simple and direct conclusion; we will need to look at the words in context to assess why they come up as key. For example, we might ask ourselves whether there are simply more female protagonists in Austen, or whether certain books are female-focused, and so on. Or we might wonder whether there are specific books in

Dickens where individual body parts are emphasised, or perhaps Dickens just refers to body parts more often overall. If he does, we can then explore why this might be the case, and how his techniques for characterisation and setting are different from other writers, such as Austen.


Thank you....


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