Read novels without effort!

data/: contains books and datasets legacy/: contains legacy code for named entity and character description www/: folder to contain the Augmented Novel

• Python 2.7
• NLTK
• numpy and scipy
• scikit-learn (only for weight.py)

• Open main.py and change variable txt_file to open the desired book.
• Adjust max_chars to control the number of characters in the generated graph
• Adjust parameter smallest of draw_graphviz to scale the generated graph
• Run main.py

It will generate www/peopleA.html the Augmented Novel with dialog segmentation and character detection. It will also generate www/graph.gv which you can open with GraphViz Neato to generate the interactions graph.

• Open legacy/main.py and change variable filetoread to open the desired book.
• Run legacy/main.py

It will print word associations with each detected character.

• Open weight.py and change the book file
• Adjust num_segments and constants as desired
• Run weight.py

It will generate www/scores.html which contains the highlighted text.