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 (6 years ago)

Commits 28 (last one 3 years ago)

Stargazers 167 (0 this week)

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RepositoryStats indexes 534,880 repositories, of these karolzak/support-tickets-classification is ranked #191,338 (64th percentile) for total stargazers, and #172,456 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #33,431/103,597.

karolzak/support-tickets-classification is also tagged with popular topics, for these it's ranked: python (#8,969/20457), machine-learning (#3,458/7374), ai (#1,341/3141), artificial-intelligence (#838/1824), azure (#432/987), pandas (#253/545), ml (#257/535), numpy (#224/508), classification (#205/507), text-classification (#123/263), text-mining (#51/112)

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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.

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updated: 2024-06-20 @ 05:14am, id: 121242847 / R_kgDOBzoE3w