https://github.com/deepsyx/text-resume-analyzer
(C++) Creates a short resume based on text
https://github.com/deepsyx/text-resume-analyzer
cpp intersection naive-algorithm nlp sentence
Last synced: about 2 months ago
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(C++) Creates a short resume based on text
- Host: GitHub
- URL: https://github.com/deepsyx/text-resume-analyzer
- Owner: deepsyx
- License: gpl-2.0
- Created: 2015-10-14T14:47:51.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2015-10-14T15:05:46.000Z (almost 10 years ago)
- Last Synced: 2025-08-18T10:01:53.559Z (about 2 months ago)
- Topics: cpp, intersection, naive-algorithm, nlp, sentence
- Language: C++
- Homepage:
- Size: 152 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# text-resume-analyzer
Naive text summarization algorithm in C++11 with wrapper for NodeJS. It was used in Smartly project and won first place in various IT competitions and olympiads.
### Version
0.1.0
### Installation
In order to compile you need to have `NodeJS` and `npm` installed.
You'll also need a C++ compiler, I was using the compiler integrated into Visual studio 2013. To build the module, go into it's directory and execute `npm build .`
### Usage
Include in your NodeJS application with
var SmartlyParser = require('smartparser');
var char_limit = 35 * 5; // chars limit
var title = 'Black mamba'; // text title, has double weight
var text = 'Big text for black mamba here'; // full text to be sumarized
SmartlyParser.parse('Huge text', 'Text title', char_limit, function(err, result) {
console.log(result);
});
### Why naive algorithm works. (Wikipedia explanation)
Paragraphs are logical atomic unit of the text and the is a reason why the author decided to split his text that way. The second (and maybe less obvious..) reason is that if two sentences have a good intersection, they probably holds the same information. So if one sentence has a good intersection with many other sentences, it probably holds some information from each one of them- or in other words, this is probably a key sentence in our text!