Exploring Text, Graphically

As a Python library/Mind-mapping tool, MapGeist aims to exploit concepts from the domains of Text Mining and Graph Theory to provide a comprehensive means of understanding/exploring text graphically.

[See docs/methodology.pdf for how it works.]

[See Generated_maps to see a few sample Mind-Maps generated using MapGeist.]

[See Scripts for some handy Python-scripts to draw MindMaps using Wikipedia/Twitter.]

NumPy

Gensim

PyGraphViz (for visualization)

NetworkX

Suppose ur text is in the file 'text.txt'

#First import

>>> from mapgeist.api import text_mind_map

#First get the Mind-Map as a NetworkX Graph instance, and the root,

#which is the n-gram with the highest weightage, as a String.

#You specify the file and the number of nodes required in the Map.

>>> mindmap, root = text_mind_map('text.txt', 100)

#Visualization

>>> from mapgeist.visualization import visualize_tree_2D

>>> visualize_tree_2D(mindmap, root, 'image.png')

#Saves the mind-map in the filepath specified as the third argument