angelosalatino/cso-classifier: CSO Classifier v3.0

This release welcomes some improvements under the hood. In particular: we refactored the code, reorganising scripts into more elegant classes we added functionalities to automatically setup and update the classifier to the latest version of CSO we added the explanation feature, which returns chunks of text that allowed the classifier to infer a given topic the syntactic module takes now advantage of Spacy POS tagger (as previously done only by semantic module) the grammar for the chunk parser is now more robust: {******+} In addition, in the post-processing module, we added the outlier detection component. This component improves the accuracy of the result set, by removing erroneous topics that were conceptually distant from the others. This component is enabled by default and can be disabled by setting delete_outliers = False when calling the CSO Classifier (see Parameters). Please, be aware that having substantially restructured the code into classes, the way of running the classifier has changed too. Thus, if you are using a previous version of the classifier, we encourage you to update it (pip install -U cso-classifier) and modify your calls to the classifier, accordingly. Read our usage examples. We would like to thank James Dunham @jamesdunham from CSET (Georgetown University) for suggesting to us how to improve the code