https://github.com/albertmeronyo/semanticcorrelation

Playground to provide semantic similarity measures between statistically correlated concepts
https://github.com/albertmeronyo/semanticcorrelation

Last synced: 2 months ago
JSON representation

Playground to provide semantic similarity measures between statistically correlated concepts

• Host: GitHub
• URL: https://github.com/albertmeronyo/semanticcorrelation
• Owner: albertmeronyo
• Created: 2014-04-15T14:22:12.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-11-12T13:19:31.000Z (about 10 years ago)
• Last Synced: 2024-10-04T18:46:33.521Z (3 months ago)
• Language: Python
• Size: 13.4 MB
• Stars: 7
• Watchers: 3
• Forks: 1
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
SemanticCorrelation

===================

Playground to provide semantic similarity measures between

statistically correlated concepts 

## What is this?

A script that reads concept descriptions in (Linked Statistical)

datasets and outputs the semantic similarity (using

[LSI](http://www.cs.bham.ac.uk/~pxt/IDA/lsa_ind.pdf)) of all possible

pairs.

## Why?

It belongs to a [broader

effort](https://github.com/csarven/linked-dataset-similarity-correlation)

to study the relationship between correlation and semantic similarity

of datasets.

## How to use it?

`./semanticCorrelation.py [-e  | -i ] -o

 [-v] [-t ] [-it ]`

- `` is the number of topics for LSI (default 200)

- `` is the number of power iterations for LSI (default

  2). With more iterations precision increases, but efficiency

  decreases

## Example

`./semanticCorrelation.py -e http://worldbank.270a.info/sparql -o

similarities.csv -v -t 300`

## Dependencies

- Python 2.7.5

- NLTK 2.0.4

- SPARQLWrapper 1.5.2

- gensim 0.10.0

## Disclaimer

Author: [Albert Meroño-Peñuela](https://github.com/albertmeronyo)

License: [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0)