Lab Session: Digital Humanities
Hello everyone. I am a student. In this blog, we have to share our experiences using these three tools and our learning outcomes. This activity was assigned by Dilip Barad Sir
🔷 Human or Computer?- Poem Test
In the beginning, we engaged with the intriguing question of whether machines are truly capable of producing poetry. As part of this exploration, we were given a poem and asked to decide if it had been written by a human or generated by a computer. This exercise pushed me to think about what creativity really means, how language operates, and where the boundary lies between natural and artificial expression. I was amazed at how convincingly machines can imitate human poetic style, though I also felt that the deeper layers of emotion and subtlety often remain the unique strength of human writing.
🔷 Voyant Tools
This activity introduced me to Voyant, a digital tool that helps analyze texts. It visually presents word frequencies, themes, and patterns through features like word clouds and trend graphs. This made it easier to identify the most significant words and ideas while making the analysis more engaging and interactive.
🔷 My Experience with the CLiC Activity
Studying the word chin through CLiC was a fascinating experience. I discovered that Dickens used it far more frequently (317 times) compared to other 19th-century writers (113 times) and Austen, who mentioned it only once. This highlighted Dickens’s strong reliance on physical description to build his characters, often using chins as markers of humour, class, or personality traits. Austen, on the other hand, placed more emphasis on dialogue and social manners rather than physical detail. What I realised is that something as small as the word chin can carry symbolic weight and reflect an author’s distinctive style. The task also demonstrated how tools like frequency counts and concordance lines can bridge language and literary analysis. Ultimately, it gave me a fresh insight into how body language plays a role in characterisation in literature.
🔷Learning Outcomes
These three activities showed me how digital tools can enrich literary study in different ways. The poetry task made me reflect on the nature of creativity and the distinction between human and machine authorship. Using CLiC taught me to trace patterns in language and connect them to characterisation more systematically. Working with Voyant introduced me to visual and data-driven approaches for exploring texts. Together, these exercises improved my critical reading, sharpened my analytical abilities, and expanded my digital literacy.
🔷 Refrences:
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