Mathematical Analysis of Literature

In summary, the "plot" of a story is a series of events that follow a certain structure, such as introduction, buildup, climax, and conclusion. Mathematically, the plot can be represented as a series of points in a space where emotions and concepts are quantified. The difference between these points can reveal underlying themes in the story. Some people may want to analyze stories in this way, but others argue that quantifying the magic of a story takes away from its beauty. Hermeneutics is a method that can be used to analyze textual material, but it relies on human interpretation rather than numerical methods.
  • #1
sinyud
23
0
1) The "plot" of a story... A series of events... Normally characterized by "intro", "buildup", "climax", and "conclusion", or whatever other arbitrary label one might fancy to attribute to a section of a piece of literatute...
2) Mathematically, the "plot" of a story is a series of points in some (albeit somewhat strange) space where concepts like love, violence, disgruntleness, etc... are quantified.
3) The difference between two chronologically adjacent points, or as physicist are won't to say: "the derivative with respect to time (though with respect to page might be better)", would represent an underlying theme of the story...
4) Any one want to analyze a story in this fashion and post the analysis? I'd like to find a good story, and see how different our analyses are ... Perhaps different results could be mapped to each other via some change of reference/basis?
 
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  • #2
why would you want to lose the magic by quantifying it?
 
  • #3
bill nye scienceguy! said:
why would you want to lose the magic by quantifying it?
Probabbly so you could write a great story?
Perhaps this is the curse of artists, they cannot enjoy the beauty of their creation like another person would.
 
  • #4
This sounds more like you want hermeneutics, even though it's most often used for relgious texts, it does provide a way to analyze textual material. I suppose you could apply numerical methods to it. But only humans can read text and derive symbology, for example. Current AI is very poor in "understanding" the meaning of text.

See:
http://en.wikipedia.org/wiki/Hermeneutics
 

1. What is "Mathematical Analysis of Literature?"

"Mathematical Analysis of Literature" is an interdisciplinary field that uses mathematical methods and models to study and analyze literary texts. It combines techniques from mathematics, statistics, and computer science with literary theory and criticism to gain new insights into literary works.

2. How does mathematical analysis help in understanding literature?

Mathematical analysis provides a quantitative approach to studying literature, allowing for objective measurements and comparisons of literary elements such as plot, character development, and language use. It also helps identify patterns and structures within texts that may not be apparent through traditional literary analysis methods.

3. What are some common techniques used in mathematical analysis of literature?

Some common techniques include sentiment analysis, network analysis, stylometry, and topic modeling. Sentiment analysis uses algorithms to analyze the emotional tone of a text, while network analysis identifies relationships and connections between characters or concepts in a text. Stylometry uses statistical analysis of writing style to identify patterns or authorship, and topic modeling uses algorithms to identify and categorize themes or topics within a text.

4. Can mathematical analysis be used for all types of literature?

Yes, mathematical analysis can be applied to all types of literature, including novels, poems, plays, and even song lyrics. However, the methods and techniques used may vary depending on the type of text and the research question being explored.

5. What are some potential benefits of using mathematical analysis in literary studies?

Using mathematical analysis can provide new insights and perspectives on literature, allowing for a deeper understanding of literary works and their cultural and historical contexts. It also allows for more quantitative and empirical evidence to support literary analysis, making it a valuable tool for interdisciplinary research and collaboration.

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