Implementation of LDA (Latent Dirichlet Allocation) for classification tasks The 2019 Stack Overflow Developer Survey Results Are InClustering of documents using the topics derived from Latent Dirichlet AllocationWhy do my Latent Dirichlet Allocation Topics mix words that never co-occurred?How to construct the document-topic matrix using the word-topic and topic-word matrix calculated using Latent Dirichlet Allocation?Scikit Learn Latent Dirichlet Allocation overload my SWAP and/or RAMDetermine document novelty/similarity with the aid of Latent Dirichlet allocation (LDA) or Named EntitiesEqually sized topics in Latent Dirichlet allocationCan I use euclidean distance for Latent Dirichlet Allocation document similarity?Sub topics with Latent Dirichlet AllocationIndustrial application(s) of LDA (latent Dirichlet allocation)?Online vs Batch Learning in Latent Dirichlet Allocation using Scikit Learn
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Implementation of LDA (Latent Dirichlet Allocation) for classification tasks
The 2019 Stack Overflow Developer Survey Results Are InClustering of documents using the topics derived from Latent Dirichlet AllocationWhy do my Latent Dirichlet Allocation Topics mix words that never co-occurred?How to construct the document-topic matrix using the word-topic and topic-word matrix calculated using Latent Dirichlet Allocation?Scikit Learn Latent Dirichlet Allocation overload my SWAP and/or RAMDetermine document novelty/similarity with the aid of Latent Dirichlet allocation (LDA) or Named EntitiesEqually sized topics in Latent Dirichlet allocationCan I use euclidean distance for Latent Dirichlet Allocation document similarity?Sub topics with Latent Dirichlet AllocationIndustrial application(s) of LDA (latent Dirichlet allocation)?Online vs Batch Learning in Latent Dirichlet Allocation using Scikit Learn
$begingroup$
Until now I have used LDA only for topic modelling. I would like to know which is the simplest implementation of LDA algorithm for classification tasks.
classification nlp lda
asked Mar 23 '18 at 11:39
SimoneSimone
269414
$endgroup$
bumped to the homepage by Community♦ 44 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
Until now I have used LDA only for topic modelling. I would like to know which is the simplest implementation of LDA algorithm for classification tasks.
classification nlp lda
asked Mar 23 '18 at 11:39
SimoneSimone
269414
$endgroup$
bumped to the homepage by Community♦ 44 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
2
$begingroup$
Use your LDA features with your favorite classifier.
$endgroup$
– Emre
Mar 23 '18 at 16:08
add a comment |
$begingroup$
Until now I have used LDA only for topic modelling. I would like to know which is the simplest implementation of LDA algorithm for classification tasks.
classification nlp lda
asked Mar 23 '18 at 11:39
SimoneSimone
269414
$endgroup$
Until now I have used LDA only for topic modelling. I would like to know which is the simplest implementation of LDA algorithm for classification tasks.
classification nlp lda
classification nlp lda
asked Mar 23 '18 at 11:39
SimoneSimone
269414
asked Mar 23 '18 at 11:39
SimoneSimone
269414
asked Mar 23 '18 at 11:39
SimoneSimone
269414
asked Mar 23 '18 at 11:39
SimoneSimone
269414
asked Mar 23 '18 at 11:39
SimoneSimone
269414
269414
bumped to the homepage by Community♦ 44 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 44 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
2
$begingroup$
Use your LDA features with your favorite classifier.
$endgroup$
– Emre
Mar 23 '18 at 16:08
add a comment |
2
$begingroup$
Use your LDA features with your favorite classifier.
$endgroup$
– Emre
Mar 23 '18 at 16:08
2
2
$begingroup$
Use your LDA features with your favorite classifier.
$endgroup$
– Emre
Mar 23 '18 at 16:08
$begingroup$
Use your LDA features with your favorite classifier.
$endgroup$
– Emre
Mar 23 '18 at 16:08
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
You can use LDA on your training data to build the topic representation of it for example:
- (document)entry[1] Label A: (topic 1 has 4 words in document 1)T[1]=4, T[3]=7, T[4]=5..
- entry[2] Label C: T[1]=3,T[2]=2...
- entry[3] Label A: T[1]=2,T[2]=2,T[3]=5...
- .
- .
- .
-
Using this you can build a simple decision tree: T[1]>1 AND T[3]>4 AND (T[2]>1 OR T[4] > 3) ---> Label A
Another approach would be to use: https://en.wikipedia.org/wiki/Dirichlet-multinomial_distribution#A_second_example:_Naive_Bayes_document_clustering
edited Jun 13 '18 at 23:40
Stephen Rauch♦
1,52551330
answered Jun 13 '18 at 22:48
EugenEugen
795
$endgroup$
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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$begingroup$
You can use LDA on your training data to build the topic representation of it for example:
- (document)entry[1] Label A: (topic 1 has 4 words in document 1)T[1]=4, T[3]=7, T[4]=5..
- entry[2] Label C: T[1]=3,T[2]=2...
- entry[3] Label A: T[1]=2,T[2]=2,T[3]=5...
- .
- .
- .
-
Using this you can build a simple decision tree: T[1]>1 AND T[3]>4 AND (T[2]>1 OR T[4] > 3) ---> Label A
Another approach would be to use: https://en.wikipedia.org/wiki/Dirichlet-multinomial_distribution#A_second_example:_Naive_Bayes_document_clustering
edited Jun 13 '18 at 23:40
Stephen Rauch♦
1,52551330
answered Jun 13 '18 at 22:48
EugenEugen
795
$endgroup$
add a comment |
$begingroup$
You can use LDA on your training data to build the topic representation of it for example:
- (document)entry[1] Label A: (topic 1 has 4 words in document 1)T[1]=4, T[3]=7, T[4]=5..
- entry[2] Label C: T[1]=3,T[2]=2...
- entry[3] Label A: T[1]=2,T[2]=2,T[3]=5...
- .
- .
- .
-
Using this you can build a simple decision tree: T[1]>1 AND T[3]>4 AND (T[2]>1 OR T[4] > 3) ---> Label A
Another approach would be to use: https://en.wikipedia.org/wiki/Dirichlet-multinomial_distribution#A_second_example:_Naive_Bayes_document_clustering
edited Jun 13 '18 at 23:40
Stephen Rauch♦
1,52551330
answered Jun 13 '18 at 22:48
EugenEugen
795
$endgroup$
add a comment |
$begingroup$
You can use LDA on your training data to build the topic representation of it for example:
- (document)entry[1] Label A: (topic 1 has 4 words in document 1)T[1]=4, T[3]=7, T[4]=5..
- entry[2] Label C: T[1]=3,T[2]=2...
- entry[3] Label A: T[1]=2,T[2]=2,T[3]=5...
- .
- .
- .
-
Using this you can build a simple decision tree: T[1]>1 AND T[3]>4 AND (T[2]>1 OR T[4] > 3) ---> Label A
Another approach would be to use: https://en.wikipedia.org/wiki/Dirichlet-multinomial_distribution#A_second_example:_Naive_Bayes_document_clustering
edited Jun 13 '18 at 23:40
Stephen Rauch♦
1,52551330
answered Jun 13 '18 at 22:48
EugenEugen
795
$endgroup$
You can use LDA on your training data to build the topic representation of it for example:
- (document)entry[1] Label A: (topic 1 has 4 words in document 1)T[1]=4, T[3]=7, T[4]=5..
- entry[2] Label C: T[1]=3,T[2]=2...
- entry[3] Label A: T[1]=2,T[2]=2,T[3]=5...
- .
- .
- .
-
Using this you can build a simple decision tree: T[1]>1 AND T[3]>4 AND (T[2]>1 OR T[4] > 3) ---> Label A
Another approach would be to use: https://en.wikipedia.org/wiki/Dirichlet-multinomial_distribution#A_second_example:_Naive_Bayes_document_clustering
edited Jun 13 '18 at 23:40
Stephen Rauch♦
1,52551330
answered Jun 13 '18 at 22:48
EugenEugen
795
edited Jun 13 '18 at 23:40
Stephen Rauch♦
1,52551330
edited Jun 13 '18 at 23:40
Stephen Rauch♦
1,52551330
edited Jun 13 '18 at 23:40
Stephen Rauch♦
1,52551330
1,52551330
answered Jun 13 '18 at 22:48
EugenEugen
795
answered Jun 13 '18 at 22:48
EugenEugen
795
answered Jun 13 '18 at 22:48
EugenEugen
795
795
add a comment |
add a comment |
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$begingroup$
Use your LDA features with your favorite classifier.
$endgroup$
– Emre
Mar 23 '18 at 16:08