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- W3144451818 abstract "This work illustrates how the text analysis is done on XYZ GmbH’s (company’s name was changed due to privacy) ticketing engine “ManageEngine ServiceDesk Plus” (MSP) database using modern technology offered by Azure ML. Here, we will use Azure Machine Learning Studio to implemented Text Analysis techniques and machine learning algorithms on the data set obtained from MSP. This research paper will guide us to the process of data extraction, data processing, creation of a word cloud and keyword extraction. We will compare modern machine Learning algorithm like neural network, averaged perceptron and boosted decision tree available in Azure ML to train and score the model and do a prediction on a ticket’s probability of being assigned to a correct department." @default.
- W3144451818 created "2021-04-13" @default.
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- W3144451818 date "2021-01-01" @default.
- W3144451818 modified "2023-09-26" @default.
- W3144451818 title "Comparative Study of Machine Learning Algorithms for Performant Text Analysis in a Real World System" @default.
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- W3144451818 doi "https://doi.org/10.1007/978-981-16-1685-3_14" @default.
- W3144451818 hasPublicationYear "2021" @default.
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