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Create/extract networks of characters from novels

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char_net

Quick Start

char_net is a group final project for PIC 16 at UCLA by Christina Indudhara and Ignat Kulinka. This project aims to extract the names of characters from .txt novels using the Stanford NER Tagger. The repository has examples of the networks produced for Frankenstein, The Adventures of Sherlock Holmes, and Harry Potter 7 - Deathly Hollows

Usage

The project was designed to be reused as a module within Python. This can be done by importing the FinalNLTKProj.py file. The testNLTKmodule.py is a documented example of how to use the project.

Sourcing Novels

Project Gutenberg is a great source of novels in easy to use and convert formats.

Examples



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Create/extract networks of characters from novels

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