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Multiclass classification of textual data
Multiclass classification with large number of classes but for each user the set of target classes is knownMulti-ouput Classification + Sentiment AnalysisMulti Label Classification for a large number of labelsHow to add incorporate meta data into text classification?Multiclass classification with many classes and wide range of sample sizesImage classification: Strategies for minimal input countImbalanced data causing mis-classification on multiclass datasetVideo classification of birdsDealing with small number of examples in hierarchical text classificationDeep learning(MLP) on multiclass classification. Model learns only one class
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I have a problem statement in which I have to classify the text data into various classes, but the training data is very less (250-300 data points for 4 classes). I am confused about what approach to use? Also is there any way that deep learning could be used for this problem with such a small tarining data?
deep-learning multiclass-classification text
asked Jun 18 at 8:11
grvkgpgrvkgp
162 bronze badges
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add a comment |
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I have a problem statement in which I have to classify the text data into various classes, but the training data is very less (250-300 data points for 4 classes). I am confused about what approach to use? Also is there any way that deep learning could be used for this problem with such a small tarining data?
deep-learning multiclass-classification text
asked Jun 18 at 8:11
grvkgpgrvkgp
162 bronze badges
$endgroup$
add a comment |
$begingroup$
I have a problem statement in which I have to classify the text data into various classes, but the training data is very less (250-300 data points for 4 classes). I am confused about what approach to use? Also is there any way that deep learning could be used for this problem with such a small tarining data?
deep-learning multiclass-classification text
asked Jun 18 at 8:11
grvkgpgrvkgp
162 bronze badges
$endgroup$
I have a problem statement in which I have to classify the text data into various classes, but the training data is very less (250-300 data points for 4 classes). I am confused about what approach to use? Also is there any way that deep learning could be used for this problem with such a small tarining data?
deep-learning multiclass-classification text
deep-learning multiclass-classification text
asked Jun 18 at 8:11
grvkgpgrvkgp
162 bronze badges
asked Jun 18 at 8:11
grvkgpgrvkgp
162 bronze badges
asked Jun 18 at 8:11
grvkgpgrvkgp
162 bronze badges
asked Jun 18 at 8:11
grvkgpgrvkgp
162 bronze badges
asked Jun 18 at 8:11
grvkgpgrvkgp
162 bronze badges
162 bronze badges
add a comment |
add a comment |
2 Answers
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300 data points is enough to give good/average results with the traditional machine learning algorithms. You should test SVMs as they are considered good for text classification.
However, deep learning is very often used when you have a lot of data, which is not the case here. So I would not recommend it for your task.
answered Jun 18 at 9:16
Alexis PisterAlexis Pister
1497 bronze badges
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You can try bag of words approach to extract the features from text and apply any supervised ML classifier like Naive Bayes etc to classify.
Deep Learning requires a huge set of data so I don't think it can be applied here in this case.
answered Jun 18 at 9:23
nagnag
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2 Answers
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2 Answers
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$begingroup$
300 data points is enough to give good/average results with the traditional machine learning algorithms. You should test SVMs as they are considered good for text classification.
However, deep learning is very often used when you have a lot of data, which is not the case here. So I would not recommend it for your task.
answered Jun 18 at 9:16
Alexis PisterAlexis Pister
1497 bronze badges
$endgroup$
add a comment |
$begingroup$
300 data points is enough to give good/average results with the traditional machine learning algorithms. You should test SVMs as they are considered good for text classification.
However, deep learning is very often used when you have a lot of data, which is not the case here. So I would not recommend it for your task.
answered Jun 18 at 9:16
Alexis PisterAlexis Pister
1497 bronze badges
$endgroup$
add a comment |
$begingroup$
300 data points is enough to give good/average results with the traditional machine learning algorithms. You should test SVMs as they are considered good for text classification.
However, deep learning is very often used when you have a lot of data, which is not the case here. So I would not recommend it for your task.
answered Jun 18 at 9:16
Alexis PisterAlexis Pister
1497 bronze badges
$endgroup$
300 data points is enough to give good/average results with the traditional machine learning algorithms. You should test SVMs as they are considered good for text classification.
However, deep learning is very often used when you have a lot of data, which is not the case here. So I would not recommend it for your task.
answered Jun 18 at 9:16
Alexis PisterAlexis Pister
1497 bronze badges
answered Jun 18 at 9:16
Alexis PisterAlexis Pister
1497 bronze badges
answered Jun 18 at 9:16
Alexis PisterAlexis Pister
1497 bronze badges
answered Jun 18 at 9:16
Alexis PisterAlexis Pister
1497 bronze badges
1497 bronze badges
add a comment |
add a comment |
$begingroup$
You can try bag of words approach to extract the features from text and apply any supervised ML classifier like Naive Bayes etc to classify.
Deep Learning requires a huge set of data so I don't think it can be applied here in this case.
answered Jun 18 at 9:23
nagnag
314 bronze badges
New contributor
nag 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 |
$begingroup$
You can try bag of words approach to extract the features from text and apply any supervised ML classifier like Naive Bayes etc to classify.
Deep Learning requires a huge set of data so I don't think it can be applied here in this case.
answered Jun 18 at 9:23
nagnag
314 bronze badges
New contributor
nag 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 |
$begingroup$
You can try bag of words approach to extract the features from text and apply any supervised ML classifier like Naive Bayes etc to classify.
Deep Learning requires a huge set of data so I don't think it can be applied here in this case.
answered Jun 18 at 9:23
nagnag
314 bronze badges
New contributor
nag is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
You can try bag of words approach to extract the features from text and apply any supervised ML classifier like Naive Bayes etc to classify.
Deep Learning requires a huge set of data so I don't think it can be applied here in this case.
answered Jun 18 at 9:23
nagnag
314 bronze badges
New contributor
nag is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered Jun 18 at 9:23
nagnag
314 bronze badges
New contributor
nag is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered Jun 18 at 9:23
nagnag
314 bronze badges
answered Jun 18 at 9:23
nagnag
314 bronze badges
314 bronze badges
New contributor
nag is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
nag 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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