# EMTk -- The Emotion Mining Toolkit

**Authors:** Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta

arXiv: 1903.09525 · 2021-04-13

## TL;DR

EMTk is a multi-language toolkit that enhances emotion and sentiment mining from developer communication, offering significant speed improvements over previous standalone tools.

## Contribution

It introduces a comprehensive, multi-language toolkit with improved performance and benchmarks for emotion and sentiment analysis in technical texts.

## Key findings

- Significant speed improvements over previous tools
- Effective emotion and sentiment analysis in developer communication
- Open source availability under MIT license

## 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.

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Source: https://tomesphere.com/paper/1903.09525