AI for system support

Have tried to build an AI bot since almost 3 years back, finally did a prototype, in case anybody would like to do something similar:

Technologies:

Java, Scala, Python, Anaconda, Scikit Learn,  EWS, BootStrap, AngularJS/JQuery

Components:

Data Set

1. I have built a scala web crawler, to download all historical support issues.
2. at the same time, have manually cleaned up/read through each of the thousand of support issues, put in corresponding resolutions corresponding to each

AI

1. have leveraged on anaconda & scikit learn, to NLP, to tokenize each support issue (text), remove stop words, stemmed each, remove punctuations
2. have leveraged on anaconda & scikit learn, bag each token of the text as feature vs class, to feed into linear regression classifier, tried SLDA, so far working at 72% accuracy

AI Exposer

1. have exposed AI as a service

Issue Feeder

1. have leveraged EWS to read in all issues, post to AI service

UI

1. have built a web user interface, on top of HTML5 + JQuery + Bootstrap, to show the support emails + AI responded resolutions
2. have a option on UI, to provide user feedback to AI, to keep its intelligence updated

Notifier

1. leverage on Java Mail API, Chat API, to post alerts for critical issues

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