Service Request classification, questionnaire filling and call logging
$begingroup$
I am very new to machine learning. I just went through some of the tutorials in Azure and completed one practice workflow(car price prediction). I hope I can ask basic questions here.
Scenario : We get service request from our customers via email. This has fields like customer name, user name, email id, Equipment affected, type of call and Issue experienced(this is a free text area).
The employee reads this email, mainly the issue experienced. Based on the issue experienced section, s/he takes the appropriate actions. We will have 4-6 fields(type of request , a few questionnaire etc). The issue experienced is a free text area where customer can write anything about the issue.
Does this qualify as a AI model if we have last 2-3 years data. If yes, Is multi class classification the solution? If not, which ML algorithm needs to be used here. Can I rely on Azure for this or do we need to build a new model/algorithm for this?
Sorry if it is a too basic question
machine-learning predictive-modeling prediction azure-ml
edited 2 days ago
GGJON
54
asked 2 days ago
rahul rajrahul raj
62
New contributor
rahul raj 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 am very new to machine learning. I just went through some of the tutorials in Azure and completed one practice workflow(car price prediction). I hope I can ask basic questions here.
Scenario : We get service request from our customers via email. This has fields like customer name, user name, email id, Equipment affected, type of call and Issue experienced(this is a free text area).
The employee reads this email, mainly the issue experienced. Based on the issue experienced section, s/he takes the appropriate actions. We will have 4-6 fields(type of request , a few questionnaire etc). The issue experienced is a free text area where customer can write anything about the issue.
Does this qualify as a AI model if we have last 2-3 years data. If yes, Is multi class classification the solution? If not, which ML algorithm needs to be used here. Can I rely on Azure for this or do we need to build a new model/algorithm for this?
Sorry if it is a too basic question
machine-learning predictive-modeling prediction azure-ml
edited 2 days ago
GGJON
54
asked 2 days ago
rahul rajrahul raj
62
New contributor
rahul raj is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
What does employee do after this, does he/she classify the request in some categories ? "The employee reads this email, mainly the issue experienced. Based on the issue experienced section. "
$endgroup$
– Shamit Verma
2 days ago
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires. This is mainly based on the 'issue experienced' field. Here customer can write free text
$endgroup$
– rahul raj
2 days ago
add a comment |
$begingroup$
I am very new to machine learning. I just went through some of the tutorials in Azure and completed one practice workflow(car price prediction). I hope I can ask basic questions here.
Scenario : We get service request from our customers via email. This has fields like customer name, user name, email id, Equipment affected, type of call and Issue experienced(this is a free text area).
The employee reads this email, mainly the issue experienced. Based on the issue experienced section, s/he takes the appropriate actions. We will have 4-6 fields(type of request , a few questionnaire etc). The issue experienced is a free text area where customer can write anything about the issue.
Does this qualify as a AI model if we have last 2-3 years data. If yes, Is multi class classification the solution? If not, which ML algorithm needs to be used here. Can I rely on Azure for this or do we need to build a new model/algorithm for this?
Sorry if it is a too basic question
machine-learning predictive-modeling prediction azure-ml
edited 2 days ago
GGJON
54
asked 2 days ago
rahul rajrahul raj
62
New contributor
rahul raj is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am very new to machine learning. I just went through some of the tutorials in Azure and completed one practice workflow(car price prediction). I hope I can ask basic questions here.
Scenario : We get service request from our customers via email. This has fields like customer name, user name, email id, Equipment affected, type of call and Issue experienced(this is a free text area).
The employee reads this email, mainly the issue experienced. Based on the issue experienced section, s/he takes the appropriate actions. We will have 4-6 fields(type of request , a few questionnaire etc). The issue experienced is a free text area where customer can write anything about the issue.
Does this qualify as a AI model if we have last 2-3 years data. If yes, Is multi class classification the solution? If not, which ML algorithm needs to be used here. Can I rely on Azure for this or do we need to build a new model/algorithm for this?
Sorry if it is a too basic question
machine-learning predictive-modeling prediction azure-ml
machine-learning predictive-modeling prediction azure-ml
edited 2 days ago
GGJON
54
asked 2 days ago
rahul rajrahul raj
62
New contributor
rahul raj is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 days ago
GGJON
54
asked 2 days ago
rahul rajrahul raj
62
New contributor
rahul raj is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 days ago
GGJON
54
edited 2 days ago
GGJON
54
edited 2 days ago
GGJON
54
54
asked 2 days ago
rahul rajrahul raj
62
New contributor
rahul raj is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
rahul rajrahul raj
62
asked 2 days ago
rahul rajrahul raj
62
62
New contributor
rahul raj is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
rahul raj is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
rahul raj is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
What does employee do after this, does he/she classify the request in some categories ? "The employee reads this email, mainly the issue experienced. Based on the issue experienced section. "
$endgroup$
– Shamit Verma
2 days ago
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires. This is mainly based on the 'issue experienced' field. Here customer can write free text
$endgroup$
– rahul raj
2 days ago
add a comment |
$begingroup$
What does employee do after this, does he/she classify the request in some categories ? "The employee reads this email, mainly the issue experienced. Based on the issue experienced section. "
$endgroup$
– Shamit Verma
2 days ago
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires. This is mainly based on the 'issue experienced' field. Here customer can write free text
$endgroup$
– rahul raj
2 days ago
$begingroup$
What does employee do after this, does he/she classify the request in some categories ? "The employee reads this email, mainly the issue experienced. Based on the issue experienced section. "
$endgroup$
– Shamit Verma
2 days ago
$begingroup$
What does employee do after this, does he/she classify the request in some categories ? "The employee reads this email, mainly the issue experienced. Based on the issue experienced section. "
$endgroup$
– Shamit Verma
2 days ago
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires. This is mainly based on the 'issue experienced' field. Here customer can write free text
$endgroup$
– rahul raj
2 days ago
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires. This is mainly based on the 'issue experienced' field. Here customer can write free text
$endgroup$
– rahul raj
2 days ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires.
This is a "multi class" classification problem.
You can start with a library that makes it easy to mix text , categorical and numerical attributes.
Text : "issue experienced" attribute (Library should be able to apply NLP on text )
Categorical : "type of request" and similar attributes
Numerical : "price" and similar attribute (if applicable)
One such library is : Uber Lugwig
If you have data in CSV, it should not take more than a few hours to train the model.
Documentation : https://uber.github.io/ludwig/user_guide/
Introduction : https://hackaday.com/2019/02/25/ludwig-promises-easy-machine-learning-from-uber/
answered 2 days ago
Shamit VermaShamit Verma
79426
$endgroup$
$begingroup$
Thank you so much for the reply. Not able to access second link. It says The webpage at hackaday.com/2019/02/25/… might be temporarily down or it may have moved permanently to a new web address.
$endgroup$
– rahul raj
2 days ago
add a comment |
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1 Answer
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$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires.
This is a "multi class" classification problem.
You can start with a library that makes it easy to mix text , categorical and numerical attributes.
Text : "issue experienced" attribute (Library should be able to apply NLP on text )
Categorical : "type of request" and similar attributes
Numerical : "price" and similar attribute (if applicable)
One such library is : Uber Lugwig
If you have data in CSV, it should not take more than a few hours to train the model.
Documentation : https://uber.github.io/ludwig/user_guide/
Introduction : https://hackaday.com/2019/02/25/ludwig-promises-easy-machine-learning-from-uber/
answered 2 days ago
Shamit VermaShamit Verma
79426
$endgroup$
$begingroup$
Thank you so much for the reply. Not able to access second link. It says The webpage at hackaday.com/2019/02/25/… might be temporarily down or it may have moved permanently to a new web address.
$endgroup$
– rahul raj
2 days ago
add a comment |
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires.
This is a "multi class" classification problem.
You can start with a library that makes it easy to mix text , categorical and numerical attributes.
Text : "issue experienced" attribute (Library should be able to apply NLP on text )
Categorical : "type of request" and similar attributes
Numerical : "price" and similar attribute (if applicable)
One such library is : Uber Lugwig
If you have data in CSV, it should not take more than a few hours to train the model.
Documentation : https://uber.github.io/ludwig/user_guide/
Introduction : https://hackaday.com/2019/02/25/ludwig-promises-easy-machine-learning-from-uber/
answered 2 days ago
Shamit VermaShamit Verma
79426
$endgroup$
$begingroup$
Thank you so much for the reply. Not able to access second link. It says The webpage at hackaday.com/2019/02/25/… might be temporarily down or it may have moved permanently to a new web address.
$endgroup$
– rahul raj
2 days ago
add a comment |
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires.
This is a "multi class" classification problem.
You can start with a library that makes it easy to mix text , categorical and numerical attributes.
Text : "issue experienced" attribute (Library should be able to apply NLP on text )
Categorical : "type of request" and similar attributes
Numerical : "price" and similar attribute (if applicable)
One such library is : Uber Lugwig
If you have data in CSV, it should not take more than a few hours to train the model.
Documentation : https://uber.github.io/ludwig/user_guide/
Introduction : https://hackaday.com/2019/02/25/ludwig-promises-easy-machine-learning-from-uber/
answered 2 days ago
Shamit VermaShamit Verma
79426
$endgroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires.
This is a "multi class" classification problem.
You can start with a library that makes it easy to mix text , categorical and numerical attributes.
Text : "issue experienced" attribute (Library should be able to apply NLP on text )
Categorical : "type of request" and similar attributes
Numerical : "price" and similar attribute (if applicable)
One such library is : Uber Lugwig
If you have data in CSV, it should not take more than a few hours to train the model.
Documentation : https://uber.github.io/ludwig/user_guide/
Introduction : https://hackaday.com/2019/02/25/ludwig-promises-easy-machine-learning-from-uber/
answered 2 days ago
Shamit VermaShamit Verma
79426
answered 2 days ago
Shamit VermaShamit Verma
79426
answered 2 days ago
Shamit VermaShamit Verma
79426
answered 2 days ago
Shamit VermaShamit Verma
79426
79426
$begingroup$
Thank you so much for the reply. Not able to access second link. It says The webpage at hackaday.com/2019/02/25/… might be temporarily down or it may have moved permanently to a new web address.
$endgroup$
– rahul raj
2 days ago
add a comment |
$begingroup$
Thank you so much for the reply. Not able to access second link. It says The webpage at hackaday.com/2019/02/25/… might be temporarily down or it may have moved permanently to a new web address.
$endgroup$
– rahul raj
2 days ago
$begingroup$
Thank you so much for the reply. Not able to access second link. It says The webpage at hackaday.com/2019/02/25/… might be temporarily down or it may have moved permanently to a new web address.
$endgroup$
– rahul raj
2 days ago
$begingroup$
Thank you so much for the reply. Not able to access second link. It says The webpage at hackaday.com/2019/02/25/… might be temporarily down or it may have moved permanently to a new web address.
$endgroup$
– rahul raj
2 days ago
add a comment |
rahul raj is a new contributor. Be nice, and check out our Code of Conduct.
rahul raj is a new contributor. Be nice, and check out our Code of Conduct.
rahul raj is a new contributor. Be nice, and check out our Code of Conduct.
rahul raj is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
What does employee do after this, does he/she classify the request in some categories ? "The employee reads this email, mainly the issue experienced. Based on the issue experienced section. "
$endgroup$
– Shamit Verma
2 days ago
$begingroup$
He reads this and in another application he logs a call. There he has to fill the request type and a number of questionnaires. This is mainly based on the 'issue experienced' field. Here customer can write free text
$endgroup$
– rahul raj
2 days ago