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Unlabeled data for auto suggest self-help steps
2019 Community Moderator ElectionUnsupervised feature learning for NERIs ML a good solution for identifying what the user wants to do from a sentence?Which machine (or deep) learning methods could suit my text classification problem?Is Java or Python a better choice for an application involving data intensive algorithms employing natural language processing?Does self driving technology gain more from the data or the state-of-the-art algorithm?Training an AI to play Starcraft 2 with superhuman level of performance?Best way to extract information from text description and match it with set of wordsText classification with thousands of output classes in KerasCV (Curriculum Vitae) Recommender System using Machine Learning, Python, Apache Solr(Back-end), AngularJS (Front-end)Document parsing modeling and approach?
$begingroup$
For a project I want to create a system where the user passes a problem description and the machine learning system identifies the most accurate article for self-help steps if any available (like a FAQ).
My available dataset is not labeled, so I do not know for previous problem descriptions which article might help for the given description. For each article some key words are saved which maybe could be helpful.
I've already looked into the theory of some unsupervised learning methods but didn't really found anything that sounds relaiable for this situation. I have to say that this is my first project in machine learning and don't have any experience. Are there any unsupervised algorithms for solving this problem? Without manually labelling the data, is there any possibility to use a supervised method and go the text classification route?
I'll be happy if someone could point me to right direction.
machine-learning text-mining
asked 20 mins ago
WikkedWikked
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add a comment |
$begingroup$
For a project I want to create a system where the user passes a problem description and the machine learning system identifies the most accurate article for self-help steps if any available (like a FAQ).
My available dataset is not labeled, so I do not know for previous problem descriptions which article might help for the given description. For each article some key words are saved which maybe could be helpful.
I've already looked into the theory of some unsupervised learning methods but didn't really found anything that sounds relaiable for this situation. I have to say that this is my first project in machine learning and don't have any experience. Are there any unsupervised algorithms for solving this problem? Without manually labelling the data, is there any possibility to use a supervised method and go the text classification route?
I'll be happy if someone could point me to right direction.
machine-learning text-mining
asked 20 mins ago
WikkedWikked
1
New contributor
Wikked 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 |
$begingroup$
For a project I want to create a system where the user passes a problem description and the machine learning system identifies the most accurate article for self-help steps if any available (like a FAQ).
My available dataset is not labeled, so I do not know for previous problem descriptions which article might help for the given description. For each article some key words are saved which maybe could be helpful.
I've already looked into the theory of some unsupervised learning methods but didn't really found anything that sounds relaiable for this situation. I have to say that this is my first project in machine learning and don't have any experience. Are there any unsupervised algorithms for solving this problem? Without manually labelling the data, is there any possibility to use a supervised method and go the text classification route?
I'll be happy if someone could point me to right direction.
machine-learning text-mining
asked 20 mins ago
WikkedWikked
1
New contributor
Wikked is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
For a project I want to create a system where the user passes a problem description and the machine learning system identifies the most accurate article for self-help steps if any available (like a FAQ).
My available dataset is not labeled, so I do not know for previous problem descriptions which article might help for the given description. For each article some key words are saved which maybe could be helpful.
I've already looked into the theory of some unsupervised learning methods but didn't really found anything that sounds relaiable for this situation. I have to say that this is my first project in machine learning and don't have any experience. Are there any unsupervised algorithms for solving this problem? Without manually labelling the data, is there any possibility to use a supervised method and go the text classification route?
I'll be happy if someone could point me to right direction.
machine-learning text-mining
machine-learning text-mining
asked 20 mins ago
WikkedWikked
1
New contributor
Wikked is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 20 mins ago
WikkedWikked
1
New contributor
Wikked is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 20 mins ago
WikkedWikked
1
New contributor
Wikked is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 20 mins ago
WikkedWikked
1
asked 20 mins ago
WikkedWikked
1
1
New contributor
Wikked is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Wikked is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Wikked 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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