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 12 (0 this week)
Forks 91
License mit
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RepositoryStats indexes 618,350 repositories, of these karolzak/support-tickets-classification is ranked #210,094 (66th percentile) for total stargazers, and #180,328 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #38,285/125,168.

karolzak/support-tickets-classification is also tagged with popular topics, for these it's ranked: python (#9,767/22999),  machine-learning (#3,744/8271),  ai (#1,870/4551),  artificial-intelligence (#974/2215),  azure (#478/1134),  ml (#288/641),  pandas (#269/597),  classification (#230/559),  numpy (#241/557),  text-classification (#128/283),  text-mining (#52/120)

Other Information

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: 2025-02-18 @ 01:20am, id: 121242847 / R_kgDOBzoE3w