How to map the correct KB(Knowledge Base) for each Incident Ticket?
$begingroup$
I have 50k Incident tickets with below 3 variables.........
Ticket No.
Description and issue written by user
KB(Knowledge Base) -- Dependent variable (940 categories with normal distribution)
When ever a new ticket gets generated, support team person will map the KB based on the Description written by user by mapping keywords with KB manually. Now i want to map the correct KB using ML/DL algos.
KB will look like this KB0017444, KB0052493, etc... and each KB will have pre-defined data like, Symptom, Description, Trouble shooting information, Etc... with lot of text in single column.
I have used Text mining in R and build an model using RandomForest, but it was giving only 50% accuracy. I have taken the user description and formed corpus and bag of words to do the same. I have not used the pre-defined data in KB till now.
Which will be the correct method to do the same? Only deep learning will work here or ML can do? Both the Incident ticket data and KB with pre-defined text data is available in CSV file.
Happy to share if any additional data is required.
machine-learning deep-learning text-mining supervised-learning natural-language-process
asked 5 mins ago
Raja KarthikRaja Karthik
1
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$begingroup$
I have 50k Incident tickets with below 3 variables.........
Ticket No.
Description and issue written by user
KB(Knowledge Base) -- Dependent variable (940 categories with normal distribution)
When ever a new ticket gets generated, support team person will map the KB based on the Description written by user by mapping keywords with KB manually. Now i want to map the correct KB using ML/DL algos.
KB will look like this KB0017444, KB0052493, etc... and each KB will have pre-defined data like, Symptom, Description, Trouble shooting information, Etc... with lot of text in single column.
I have used Text mining in R and build an model using RandomForest, but it was giving only 50% accuracy. I have taken the user description and formed corpus and bag of words to do the same. I have not used the pre-defined data in KB till now.
Which will be the correct method to do the same? Only deep learning will work here or ML can do? Both the Incident ticket data and KB with pre-defined text data is available in CSV file.
Happy to share if any additional data is required.
machine-learning deep-learning text-mining supervised-learning natural-language-process
asked 5 mins ago
Raja KarthikRaja Karthik
1
New contributor
Raja Karthik is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have 50k Incident tickets with below 3 variables.........
Ticket No.
Description and issue written by user
KB(Knowledge Base) -- Dependent variable (940 categories with normal distribution)
When ever a new ticket gets generated, support team person will map the KB based on the Description written by user by mapping keywords with KB manually. Now i want to map the correct KB using ML/DL algos.
KB will look like this KB0017444, KB0052493, etc... and each KB will have pre-defined data like, Symptom, Description, Trouble shooting information, Etc... with lot of text in single column.
I have used Text mining in R and build an model using RandomForest, but it was giving only 50% accuracy. I have taken the user description and formed corpus and bag of words to do the same. I have not used the pre-defined data in KB till now.
Which will be the correct method to do the same? Only deep learning will work here or ML can do? Both the Incident ticket data and KB with pre-defined text data is available in CSV file.
Happy to share if any additional data is required.
machine-learning deep-learning text-mining supervised-learning natural-language-process
asked 5 mins ago
Raja KarthikRaja Karthik
1
New contributor
Raja Karthik is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have 50k Incident tickets with below 3 variables.........
Ticket No.
Description and issue written by user
KB(Knowledge Base) -- Dependent variable (940 categories with normal distribution)
When ever a new ticket gets generated, support team person will map the KB based on the Description written by user by mapping keywords with KB manually. Now i want to map the correct KB using ML/DL algos.
KB will look like this KB0017444, KB0052493, etc... and each KB will have pre-defined data like, Symptom, Description, Trouble shooting information, Etc... with lot of text in single column.
I have used Text mining in R and build an model using RandomForest, but it was giving only 50% accuracy. I have taken the user description and formed corpus and bag of words to do the same. I have not used the pre-defined data in KB till now.
Which will be the correct method to do the same? Only deep learning will work here or ML can do? Both the Incident ticket data and KB with pre-defined text data is available in CSV file.
Happy to share if any additional data is required.
machine-learning deep-learning text-mining supervised-learning natural-language-process
machine-learning deep-learning text-mining supervised-learning natural-language-process
asked 5 mins ago
Raja KarthikRaja Karthik
1
New contributor
Raja Karthik is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 mins ago
Raja KarthikRaja Karthik
1
New contributor
Raja Karthik is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 mins ago
Raja KarthikRaja Karthik
1
New contributor
Raja Karthik is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 mins ago
Raja KarthikRaja Karthik
1
asked 5 mins ago
Raja KarthikRaja Karthik
1
1
New contributor
Raja Karthik is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Raja Karthik is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Raja Karthik is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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