Naive Bayes category keywords
I'm using multinomial Naive Bayes to sort documents into three categories. I would like to find the most important 'keywords' of each category, akin to using tf-idf to find the keywords of a document. I have attempted to use tf-idf for each document in the corpus and getting some overall keyword lists for each category based on the keywords of documents within those categories, but I can't find a good way to combine all these keyword lists. I have also thought about treating each category itself as a single, massive 'document' and getting the keywords using tf-idf, but this doesn't give very great results when you only have three such 'documents'.
Is there a known/common method for getting category keywords?
nlp tf-idf naivebayes
asked Nov 22 '18 at 9:18
tigerninjamantigerninjaman
10511
add a comment |
I'm using multinomial Naive Bayes to sort documents into three categories. I would like to find the most important 'keywords' of each category, akin to using tf-idf to find the keywords of a document. I have attempted to use tf-idf for each document in the corpus and getting some overall keyword lists for each category based on the keywords of documents within those categories, but I can't find a good way to combine all these keyword lists. I have also thought about treating each category itself as a single, massive 'document' and getting the keywords using tf-idf, but this doesn't give very great results when you only have three such 'documents'.
Is there a known/common method for getting category keywords?
nlp tf-idf naivebayes
asked Nov 22 '18 at 9:18
tigerninjamantigerninjaman
10511
You can tryLDA. Please put more context.
– Srce Cde
Nov 23 '18 at 11:08
I already have the categories defined, soLDAis unnecessary. I want to know after classifying documents how to find a list of words that are the most important / characteristic in each category.
– tigerninjaman
Nov 24 '18 at 7:15
add a comment |
I'm using multinomial Naive Bayes to sort documents into three categories. I would like to find the most important 'keywords' of each category, akin to using tf-idf to find the keywords of a document. I have attempted to use tf-idf for each document in the corpus and getting some overall keyword lists for each category based on the keywords of documents within those categories, but I can't find a good way to combine all these keyword lists. I have also thought about treating each category itself as a single, massive 'document' and getting the keywords using tf-idf, but this doesn't give very great results when you only have three such 'documents'.
Is there a known/common method for getting category keywords?
nlp tf-idf naivebayes
asked Nov 22 '18 at 9:18
tigerninjamantigerninjaman
10511
I'm using multinomial Naive Bayes to sort documents into three categories. I would like to find the most important 'keywords' of each category, akin to using tf-idf to find the keywords of a document. I have attempted to use tf-idf for each document in the corpus and getting some overall keyword lists for each category based on the keywords of documents within those categories, but I can't find a good way to combine all these keyword lists. I have also thought about treating each category itself as a single, massive 'document' and getting the keywords using tf-idf, but this doesn't give very great results when you only have three such 'documents'.
Is there a known/common method for getting category keywords?
nlp tf-idf naivebayes
nlp tf-idf naivebayes
asked Nov 22 '18 at 9:18
tigerninjamantigerninjaman
10511
asked Nov 22 '18 at 9:18
tigerninjamantigerninjaman
10511
asked Nov 22 '18 at 9:18
tigerninjamantigerninjaman
10511
asked Nov 22 '18 at 9:18
tigerninjamantigerninjaman
10511
asked Nov 22 '18 at 9:18
tigerninjamantigerninjaman
10511
10511
You can tryLDA. Please put more context.
– Srce Cde
Nov 23 '18 at 11:08
I already have the categories defined, soLDAis unnecessary. I want to know after classifying documents how to find a list of words that are the most important / characteristic in each category.
– tigerninjaman
Nov 24 '18 at 7:15
add a comment |
You can tryLDA. Please put more context.
– Srce Cde
Nov 23 '18 at 11:08
I already have the categories defined, soLDAis unnecessary. I want to know after classifying documents how to find a list of words that are the most important / characteristic in each category.
– tigerninjaman
Nov 24 '18 at 7:15
You can try
LDA. Please put more context.– Srce Cde
Nov 23 '18 at 11:08
You can try
LDA. Please put more context.– Srce Cde
Nov 23 '18 at 11:08
I already have the categories defined, so
LDA is unnecessary. I want to know after classifying documents how to find a list of words that are the most important / characteristic in each category.– tigerninjaman
Nov 24 '18 at 7:15
I already have the categories defined, so
LDA is unnecessary. I want to know after classifying documents how to find a list of words that are the most important / characteristic in each category.– tigerninjaman
Nov 24 '18 at 7:15
add a comment |
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You can try
LDA. Please put more context.– Srce Cde
Nov 23 '18 at 11:08
I already have the categories defined, so
LDAis unnecessary. I want to know after classifying documents how to find a list of words that are the most important / characteristic in each category.– tigerninjaman
Nov 24 '18 at 7:15