Uncovering Themes in Shakespeare's Plays Using LDA Topic Modeling

Uncovering Themes in Shakespeare's Plays Using LDA Topic Modeling

Napisane przez: Fernanda Mello ()

Introduction


In this post, I will share the results of a topic modeling analysis using Latent Dirichlet Allocation (LDA) on a corpus derived from a collection of Shakespeare's plays. The goal was to uncover the main themes present in the texts and visualize the distribution of these themes.


Methodology


The analysis followed these key steps:


1. Text Collection: A sample of text from various plays by William Shakespeare was compiled, including famous works such as "Hamlet," "Macbeth," and "Othello."

2. Text Preprocessing: The text was cleaned by converting to lowercase, removing punctuation, numbers, stopwords, and applying stemming.

3. Document-Term Matrix (DTM) Creation: The cleaned text was converted into a Document-Term Matrix.

4. LDA Model Fitting: The LDA model was fitted with 5 topics.

5. Visualization: The results were visualized using bar plots for the top terms of each topic, a word cloud for the entire corpus, and a bar plot showing the topic distribution across the corpus.


Results


Top Terms for Each Topic

- Topic 1: King, Queen, Prince, Court, Throne, Kingdom, Royal, Crown, Power, Rule

- Topic 2: Battle, Soldier, War, Fight, Victory, Enemy, Army, Sword, Blood, Death

- Topic 3: Love, Heart, Passion, Beauty, Lover, Kiss, Sweet, Gentle, Desire, Marriage

- Topic 4: Ghost, Night, Fear, Darkness, Spirit, Haunt, Sleep, Dream, Evil, Death

- Topic 5: Friend, Trust, Deceit, Betray, Honesty, Secret, Promise, Loyalty, Truth, Confess


Topic Distribution Across Entire Corpus


The following visualizations provide a summary of the topic distribution and key terms within the corpus:


- Word Cloud: The word cloud offers a visual summary of the most frequent and significant terms from the entire corpus. Key terms such as "king," "love," "battle," and "ghost" are prominently displayed, highlighting their high frequency and relevance within the texts.

- Topic Distribution Graphs: Bar plots illustrate the top terms for each topic and the distribution of these topics across the corpus.


By analyzing these visualizations, we can gain insights into the thematic structure of Shakespeare's plays and how different themes are interwoven throughout his works.


Best regards,

Fernanda Mello

Re: Uncovering Themes in Shakespeare's Plays Using LDA Topic Modeling

Napisane przez: Mariana Barrote ()
I really enjoyed reading through your topic modeling analysis of Shakespeare's plays. This is a fantastic piece of work that provides valuable insights into the thematic structure of Shakespeare's renowned writings.
Analyzing the works of a literary giant like Shakespeare is no easy feat, but your analysis has done an excellent job of unveiling the rich tapestry of themes that run through his plays.