karolzak / support-tickets-classification

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Date Created 2018-02-12 (7 years ago)

Commits 28 (last one 3 years ago)

Stargazers 168 (0 this week)

Watchers 11 (0 this week)

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RepositoryStats indexes 639,263 repositories, of these karolzak/support-tickets-classification is ranked #214,824 (66th percentile) for total stargazers, and #186,845 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #39,598/131,078.

karolzak/support-tickets-classification is also tagged with popular topics, for these it's ranked: python (#9,930/23595), machine-learning (#3,798/8464), ai (#2,054/5019), artificial-intelligence (#1,007/2299), azure (#487/1162), ml (#291/654), pandas (#272/607), classification (#235/575), numpy (#242/570), text-classification (#128/287), text-mining (#53/124)

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karolzak/support-tickets-classification has 5 open pull requests on Github, 7 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 5 open issues and 5 closed issues.

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updated: 2025-03-07 @ 06:19am, id: 121242847 / R_kgDOBzoE3w