Heracles: A framework for developing and evaluating text mining algorithms
作者：
Highlights：
• We propose a unified framework for developing text mining.
• It integrates packages for natural language processing and machine learning.
• It has built-in support for standard research evaluation practices.
• The design patterns and technical details are given and code is available at GitHub.
• The framework has successfully been used in various text mining projects.
摘要
•We propose a unified framework for developing text mining.•It integrates packages for natural language processing and machine learning.•It has built-in support for standard research evaluation practices.•The design patterns and technical details are given and code is available at GitHub.•The framework has successfully been used in various text mining projects.
论文关键词：Text mining,Algorithm evaluation,Research and development,Developers framework
论文评审过程：Received 1 September 2018, Revised 3 March 2019, Accepted 3 March 2019, Available online 4 March 2019, Version of Record 8 March 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.005
