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Summary of Word cloud
2019 Community Moderator ElectionWord analysis in PythonOutput a word instead of a vector after word embedding?Summary statistics by category using PythonHow word embedding work for word similarity?Supervised learning model for extracting terror attack motives from attack summary (NLP)Training of word weights in Word Embedding and Word2VecHow to count number of word embeddings in Gensim Word2Vec modeladding summary to tensorflow model errorUpdating Google News Word2vec Word Embedding?Convert extracted text into short summary (Abstract summarisation)
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I am clustering the bio of twitter followers using their bio description. After that I am trying to explain the different characteristics/separation of different clusters using the word cloud of entities in their description . The results are fairly good and I can see that it is able to cluster different users . The problem is how to represent the results. showing the word cloud and top followers near centroid is not able to bring the results clearly. Is it possible to summarise the word clusters in simple English sentences . For example difference between two attached word clouds
And
python clustering gensim automatic-summarization
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add a comment |
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I am clustering the bio of twitter followers using their bio description. After that I am trying to explain the different characteristics/separation of different clusters using the word cloud of entities in their description . The results are fairly good and I can see that it is able to cluster different users . The problem is how to represent the results. showing the word cloud and top followers near centroid is not able to bring the results clearly. Is it possible to summarise the word clusters in simple English sentences . For example difference between two attached word clouds
And
python clustering gensim automatic-summarization
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Don't summarize a summary... Also, your perception may deceive you, and you may be seeing a pattern when there is none. Have you tried running the word clouds on random subsets of users for comparison? Can a user distinguish your clusters from random subsets when presented the word clouds in an A/B test?
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– Anony-Mousse
Mar 27 at 17:07
add a comment |
$begingroup$
I am clustering the bio of twitter followers using their bio description. After that I am trying to explain the different characteristics/separation of different clusters using the word cloud of entities in their description . The results are fairly good and I can see that it is able to cluster different users . The problem is how to represent the results. showing the word cloud and top followers near centroid is not able to bring the results clearly. Is it possible to summarise the word clusters in simple English sentences . For example difference between two attached word clouds
And
python clustering gensim automatic-summarization
$endgroup$
I am clustering the bio of twitter followers using their bio description. After that I am trying to explain the different characteristics/separation of different clusters using the word cloud of entities in their description . The results are fairly good and I can see that it is able to cluster different users . The problem is how to represent the results. showing the word cloud and top followers near centroid is not able to bring the results clearly. Is it possible to summarise the word clusters in simple English sentences . For example difference between two attached word clouds
And
python clustering gensim automatic-summarization
python clustering gensim automatic-summarization
asked Mar 26 at 6:55
pankaj jhapankaj jha
41
41
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Don't summarize a summary... Also, your perception may deceive you, and you may be seeing a pattern when there is none. Have you tried running the word clouds on random subsets of users for comparison? Can a user distinguish your clusters from random subsets when presented the word clouds in an A/B test?
$endgroup$
– Anony-Mousse
Mar 27 at 17:07
add a comment |
$begingroup$
Don't summarize a summary... Also, your perception may deceive you, and you may be seeing a pattern when there is none. Have you tried running the word clouds on random subsets of users for comparison? Can a user distinguish your clusters from random subsets when presented the word clouds in an A/B test?
$endgroup$
– Anony-Mousse
Mar 27 at 17:07
$begingroup$
Don't summarize a summary... Also, your perception may deceive you, and you may be seeing a pattern when there is none. Have you tried running the word clouds on random subsets of users for comparison? Can a user distinguish your clusters from random subsets when presented the word clouds in an A/B test?
$endgroup$
– Anony-Mousse
Mar 27 at 17:07
$begingroup$
Don't summarize a summary... Also, your perception may deceive you, and you may be seeing a pattern when there is none. Have you tried running the word clouds on random subsets of users for comparison? Can a user distinguish your clusters from random subsets when presented the word clouds in an A/B test?
$endgroup$
– Anony-Mousse
Mar 27 at 17:07
add a comment |
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$begingroup$
Don't summarize a summary... Also, your perception may deceive you, and you may be seeing a pattern when there is none. Have you tried running the word clouds on random subsets of users for comparison? Can a user distinguish your clusters from random subsets when presented the word clouds in an A/B test?
$endgroup$
– Anony-Mousse
Mar 27 at 17:07