NLP to recognize the meaning of a paragraph
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I would like to know how can I apply NLP to extract the summary of a paragraph,I found this but was wondering if there is a better and easy way before implementing it, as the ans seems to be an old one.
Basically what I need is, I have 2 paragraph and wanted to know how related they were(maybe in percentage) in context of their meaning.
PS:I am new to both NLP and this forum.
machine-learning text-mining natural-language-process
asked yesterday
Ankit AgrawalAnkit Agrawal
264
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add a comment |
$begingroup$
I would like to know how can I apply NLP to extract the summary of a paragraph,I found this but was wondering if there is a better and easy way before implementing it, as the ans seems to be an old one.
Basically what I need is, I have 2 paragraph and wanted to know how related they were(maybe in percentage) in context of their meaning.
PS:I am new to both NLP and this forum.
machine-learning text-mining natural-language-process
asked yesterday
Ankit AgrawalAnkit Agrawal
264
New contributor
Ankit Agrawal 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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1
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You can convert the documents to vectors maybe using word2vec. Then, you can measure the similarity between the vectors using euclidean distance or cosine similarity.
$endgroup$
– Shubham Panchal
yesterday
add a comment |
$begingroup$
I would like to know how can I apply NLP to extract the summary of a paragraph,I found this but was wondering if there is a better and easy way before implementing it, as the ans seems to be an old one.
Basically what I need is, I have 2 paragraph and wanted to know how related they were(maybe in percentage) in context of their meaning.
PS:I am new to both NLP and this forum.
machine-learning text-mining natural-language-process
asked yesterday
Ankit AgrawalAnkit Agrawal
264
New contributor
Ankit Agrawal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I would like to know how can I apply NLP to extract the summary of a paragraph,I found this but was wondering if there is a better and easy way before implementing it, as the ans seems to be an old one.
Basically what I need is, I have 2 paragraph and wanted to know how related they were(maybe in percentage) in context of their meaning.
PS:I am new to both NLP and this forum.
machine-learning text-mining natural-language-process
machine-learning text-mining natural-language-process
asked yesterday
Ankit AgrawalAnkit Agrawal
264
New contributor
Ankit Agrawal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Ankit AgrawalAnkit Agrawal
264
New contributor
Ankit Agrawal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
Ankit Agrawal
asked yesterday
Ankit AgrawalAnkit Agrawal
264
New contributor
Ankit Agrawal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
Ankit AgrawalAnkit Agrawal
264
asked yesterday
Ankit AgrawalAnkit Agrawal
264
264
New contributor
Ankit Agrawal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Ankit Agrawal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Ankit Agrawal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
$begingroup$
You can convert the documents to vectors maybe using word2vec. Then, you can measure the similarity between the vectors using euclidean distance or cosine similarity.
$endgroup$
– Shubham Panchal
yesterday
add a comment |
1
$begingroup$
You can convert the documents to vectors maybe using word2vec. Then, you can measure the similarity between the vectors using euclidean distance or cosine similarity.
$endgroup$
– Shubham Panchal
yesterday
1
1
$begingroup$
You can convert the documents to vectors maybe using word2vec. Then, you can measure the similarity between the vectors using euclidean distance or cosine similarity.
$endgroup$
– Shubham Panchal
yesterday
$begingroup$
You can convert the documents to vectors maybe using word2vec. Then, you can measure the similarity between the vectors using euclidean distance or cosine similarity.
$endgroup$
– Shubham Panchal
yesterday
add a comment |
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$begingroup$
You can convert the documents to vectors maybe using word2vec. Then, you can measure the similarity between the vectors using euclidean distance or cosine similarity.
$endgroup$
– Shubham Panchal
yesterday