Aspect Based Sentiment Analysis
The task is to classify the sentiment of potentially long texts for several aspects. In building this package, we focus on two things. Firstly, the package works as a service. It can be freely adjusted and extended to your needs. It is standalone and scalable. You just benefit from the fine-tuned State of the Art models. Secondly, we wish to explain model decisions, so you can infer how much predictions are reliable. We desire to provide the robust and stable ML package.
There are over 100 repositories on GitHub around this problem . All of them are hard to commercialize and reuse open-sourced research projects. Their purpose is to turn the evaluation score up. It is hard to go through the entire process and reproduce results from scratch. The pre/post-processing is divided into stages that makes it hard to use. Last but not least, there is no/little effort to understand model reasoning. We try to clean this excellent research up. Please give a star if you like the project. This is important to keep this project alive.