EMTk - The Emotion Mining Toolkit

Fabio Calefato, F. Lanubile, Nicole Novielli, L. Quaranta
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引用次数: 12

Abstract

The Emotion Mining Toolkit (EMTk) is a suite of modules and datasets offering a comprehensive solution for mining sentiment and emotions from technical text contributed by developers on communication channels. The toolkit is written in Java, Python, and R, and is released under the MIT open source license. In this paper, we describe its architecture and the benchmark against the previous, standalone versions of our sentiment analysis tools. Results show large improvements in terms of speed.
EMTk -情感挖掘工具包
情感挖掘工具包(EMTk)是一套模块和数据集,为从开发人员在通信渠道上提供的技术文本中挖掘情感和情感提供了全面的解决方案。该工具包是用Java、Python和R语言编写的,并在MIT开源许可下发布。在本文中,我们描述了它的架构,并与之前的情感分析工具的独立版本进行了基准测试。结果显示在速度方面有很大的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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