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Keyphrase Extraction Review

License: GNU General Public License v3.0

Python 80.76% Dockerfile 0.39% Makefile 0.31% Shell 1.75% MATLAB 1.98% C 14.81%
review machine-learning natural-language-processing text-mining deep-learning unsupervised-learning keyword-extraction keyphrase-extraction statistical-models deep-learning-models graph-based-models embeddings supervised-learning

keyphraseextraction's Introduction

Keyword & Keyphrase Extraction Review

This repository hosts code for the papers:

Datasets

Available in this link

Disclaimer

This repository contains code for the evaluated approaches. The code for these approaches belongs to their respective authors. Some code files were modified to enable the evaluation. These modifications include:

  • Removing hardcoded paths.
  • Setting cpu-only mode for approaches that require a lot of GPU VRAM.
  • Updating code to run from Python 2 to Python 3.
  • Amend errors related to old packages or functions with wrong parameters.
  • Disabling stemming performed early by certain approaches in their keyphrase extraction step, as to use a common stemmer later in the evaluation process.

Test Results

Configure KeyExt\config.py and run KeyExt.py.

Installation

  • Python 3 (min. version 3.7), pip3 (& py launcher Windows-only).
  • Follow the install instructions in each subdirectory.

Contributors

keyphraseextraction's People

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