How to cluster text-based software requirements The 2019 Stack Overflow Developer Survey Results Are InKeyword/phrase extraction from Text using Deep Learning librariesHow can autoencoders be used for clustering?Encog neural network multiple outputsOne hot encoding vs Word embeddingKeyword Extraction from a text followed by a key value using tensorflowGraph & Network Mining: clustering/community detection/ classificationDeep Learning Network decreasing in accuracyHow Do I Learn Neural Networks?Neural Network for detecting/checking for requirements in diagramsWhy is MLP working similar to RNN for text generation
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How to cluster text-based software requirements
The 2019 Stack Overflow Developer Survey Results Are InKeyword/phrase extraction from Text using Deep Learning librariesHow can autoencoders be used for clustering?Encog neural network multiple outputsOne hot encoding vs Word embeddingKeyword Extraction from a text followed by a key value using tensorflowGraph & Network Mining: clustering/community detection/ classificationDeep Learning Network decreasing in accuracyHow Do I Learn Neural Networks?Neural Network for detecting/checking for requirements in diagramsWhy is MLP working similar to RNN for text generation
$begingroup$
I'm beginner in deep learning and I'd like to cluster text-based software requirements by themes (words similarities/frequency of words) using neural networks. Is there any example/tutorial/github code of unsupervised neural network that groups texts based on themes and words similarities?
Thank you very much for your answers!
neural-network clustering unsupervised-learning natural-language-process
asked 10 hours ago
TakwaTakwa
61
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Takwa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
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I'm beginner in deep learning and I'd like to cluster text-based software requirements by themes (words similarities/frequency of words) using neural networks. Is there any example/tutorial/github code of unsupervised neural network that groups texts based on themes and words similarities?
Thank you very much for your answers!
neural-network clustering unsupervised-learning natural-language-process
asked 10 hours ago
TakwaTakwa
61
New contributor
Takwa 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'm beginner in deep learning and I'd like to cluster text-based software requirements by themes (words similarities/frequency of words) using neural networks. Is there any example/tutorial/github code of unsupervised neural network that groups texts based on themes and words similarities?
Thank you very much for your answers!
neural-network clustering unsupervised-learning natural-language-process
asked 10 hours ago
TakwaTakwa
61
New contributor
Takwa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'm beginner in deep learning and I'd like to cluster text-based software requirements by themes (words similarities/frequency of words) using neural networks. Is there any example/tutorial/github code of unsupervised neural network that groups texts based on themes and words similarities?
Thank you very much for your answers!
neural-network clustering unsupervised-learning natural-language-process
neural-network clustering unsupervised-learning natural-language-process
asked 10 hours ago
TakwaTakwa
61
New contributor
Takwa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
TakwaTakwa
61
New contributor
Takwa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
TakwaTakwa
61
New contributor
Takwa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
TakwaTakwa
61
asked 10 hours ago
TakwaTakwa
61
61
New contributor
Takwa is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Takwa 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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Check out our Code of Conduct.
add a comment |
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1 Answer
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I recommend using word2vec as feature vector of words and LSTM autoencoder to encode a sentence (or text) . After you get a vector for each sentence (or text), you can cluster your sentences (or texts) using a variety of clustering techniques like k-means or dbscan and represent them using t-sne or u-map. Start from here:
https://blog.myyellowroad.com/unsupervised-sentence-representation-with-deep-learning-104b90079a93
answered 9 hours ago
pythinkerpythinker
5831211
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
I recommend using word2vec as feature vector of words and LSTM autoencoder to encode a sentence (or text) . After you get a vector for each sentence (or text), you can cluster your sentences (or texts) using a variety of clustering techniques like k-means or dbscan and represent them using t-sne or u-map. Start from here:
https://blog.myyellowroad.com/unsupervised-sentence-representation-with-deep-learning-104b90079a93
answered 9 hours ago
pythinkerpythinker
5831211
$endgroup$
add a comment |
$begingroup$
I recommend using word2vec as feature vector of words and LSTM autoencoder to encode a sentence (or text) . After you get a vector for each sentence (or text), you can cluster your sentences (or texts) using a variety of clustering techniques like k-means or dbscan and represent them using t-sne or u-map. Start from here:
https://blog.myyellowroad.com/unsupervised-sentence-representation-with-deep-learning-104b90079a93
answered 9 hours ago
pythinkerpythinker
5831211
$endgroup$
add a comment |
$begingroup$
I recommend using word2vec as feature vector of words and LSTM autoencoder to encode a sentence (or text) . After you get a vector for each sentence (or text), you can cluster your sentences (or texts) using a variety of clustering techniques like k-means or dbscan and represent them using t-sne or u-map. Start from here:
https://blog.myyellowroad.com/unsupervised-sentence-representation-with-deep-learning-104b90079a93
answered 9 hours ago
pythinkerpythinker
5831211
$endgroup$
I recommend using word2vec as feature vector of words and LSTM autoencoder to encode a sentence (or text) . After you get a vector for each sentence (or text), you can cluster your sentences (or texts) using a variety of clustering techniques like k-means or dbscan and represent them using t-sne or u-map. Start from here:
https://blog.myyellowroad.com/unsupervised-sentence-representation-with-deep-learning-104b90079a93
answered 9 hours ago
pythinkerpythinker
5831211
answered 9 hours ago
pythinkerpythinker
5831211
answered 9 hours ago
pythinkerpythinker
5831211
answered 9 hours ago
pythinkerpythinker
5831211
5831211
add a comment |
add a comment |
Takwa is a new contributor. Be nice, and check out our Code of Conduct.
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