NLP for OnPage

I am trying to use nlp and extract the topics in a page or some paragraphs of content.

Say page is on
gmat scores

I want to extract what and all has been written in that page. There is something called topic modelling but I could not get a hang of it. Also trying to find common topics between two pages or documents. How do we get topics discussed in both the documents.

You could use Tensorflow's word2vec in order to understand your documents better through word embedding. You could then visualise these word embedding using t-SNE.

TasDePixels said:

You could use Tensorflow's word2vec in order to understand your documents better through word embedding. You could then visualise these word embedding using t-SNE.

Click to expand...

Stanford CoreNLP is a great way to get started too, if you are inexperienced with Tensorflow