EMTk -- The Emotion Mining Toolkit
This provides a solution for developers and researchers analyzing emotions in technical communication, but it is incremental as it builds on existing tools.
The paper tackles the problem of mining sentiment and emotions from technical text by introducing EMTk, a comprehensive toolkit that shows large improvements in speed compared to previous standalone versions.
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.