Graph of words
Create a graph of word representation from a text. Roughly based on Malliaros, F. D., & Skianis, K. (2015). Graph-Based Term Weighting for Text Categorization. 1473–1479. https://doi.org/10.1145/2808797.2808872
Example:
import graph
graph = graph.GraphOfWords(window_size=2)
graph.build_graph(
'Roses are red. Violets are blue',
# OR a sentences list['Roses are red.', 'Violets are blue'],
remove_stopwords=False,
workers=4
)
graph.display_graph()
graph.write_graph_edges('edges_list.txt')
Note that build_graph also accepts a list of sentences.
The following actions are performed:
- Split the text into sentences if required
- Slide a window across each sentence
- Add a directed graph edge form the current word to the other ones within the window, the weight being the distance between the two words
Documentation
See the documentation.
1 maintainer
Metadata
1 maintainer
Release files for graph-of-words 0.1
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| File | Interpreter | ABI | Platform | Reset |
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| graph_of_words-0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / graph_of_words-0.1-py2.py3-none-any.whl
| Download URL | graph_of_words-0.1-py2.py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 2 Python 3 |
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