NLP Analysis of The Adventures of Sherlock Holmes
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Table of contents
When data meets literature: an NLP analysis of The Adventures of Sherlock Holmes
Overview
This project applies Natural Language Processing (NLP) techniques to Arthur Conan Doyle's The Adventures of Sherlock Holmes .
The objective was to discover linguistic patterns, emotional tone and stylistic characteristics in this classic work.
Motivation
As a data scientist with a passion for language, I sought to bridge literature and data science , transforming text into measurable information.
Holmes was the ideal example: a detective who observes patterns, just like those of us who analyze data.
Methodology
- Preprocessing: tokenization, lemmatization, and stopword removal.
- Exploratory analysis: word frequency and sentence structure.
- Sentiment Analysis: With TextBlob .
- Entity recognition: using spaCy .
Project created by Gabriela Antonini
Data Scientist – Argentina