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Forked from https://github.com/sleepycat/rapid-automated-keyword-extraction","keywords":["keyword","extraction","rake"],"author":{"name":"Sameer Chandra"},"license":"MIT","readme":"# RAKE: Rapid automatic keyword extraction\n\nThe goal of this library was to create a well tested Javascript translation of the\n[python implementation](https://github.com/zelandiya/RAKE-tutorial).\n\nDifferences in regular expressions and stopword lists have big impacts on this algorithm and\nsticking close to the python means that the code was easy to compare to ensure\nthat it was in the ballpark.\n\nThis algorithm is described in [Text Mining: Applications and\nTheory](https://www.amazon.ca/Text-Mining-Applications-Michael-Berry/dp/0470749822)\nand also in this [excellent blog\npost](https://www.airpair.com/nlp/keyword-extraction-tutorial) by Alyona\nMedelyan.\n\nIt operates using only the text you give it and produces surprisingly good\nresults. There are likely [better results\npossible](http://bdewilde.github.io/blog/2014/09/23/intro-to-automatic-keyphrase-extraction/)\nbut these mostly seem to involve a combination of Python, Machine Learning and\na corpus of data.\n\nThe appeal of RAKE is of the \"bang for the buck\" variety.\n\nCurrently this library produces subtly different results than either the paper\nor the original Python implementation. While the results (especially the top\nscoring ones) line up nicely, these little deviations represent something to\nunderstand and resolve.\n\n## What's next\n\nAfter hammering out differences in the results, plans are to focus on\n\n* Fully embracing JS idioms (Promises/ES201X)\n* Explore ways to improve the results as described\n  [here](https://www.ijarcsse.com/docs/papers/Volume_6/5_May2016/V6I5-0392.pdf)\n* Options to control result format (number, result|result+rank, etc)\n* Include default stopword list.\n* Improve handling of special characters and italics\n* Deal with sentences that have been split over multiple lines (sentence now ends with -)\n\n# Usage\n\n```javascript\n> var rake = require('../dist/index').default\nundefined\n> rake('Compatibility of systems of linear constraints over the set of natural numbers', 'test/data/salton_1971_smartstoplist.txt').then(console.log)\n{ 'natural numbers': 4,\n  'linear constraints': 4,\n  set: 1,\n  systems: 1,\n  compatibility: 1 }\n```\n\n## Stopword lists\n\nThe stopword list used by the python version is [here](https://github.com/zelandiya/RAKE-tutorial/blob/master/SmartStoplist.txt).\nIt has a comment as the first line which might break the world...\n\nLinks to other stopword lists can be found [here](http://trialstravails.blogspot.ca/2014/04/fox-stop-words-list.html)\n\nAny file with one word per line should be fine.\n","readmeFilename":"README.md"}