distance calculations between words projected/visualised using T-SNE method (convex hull) python
Budget: £20 – £250 GBP
we have three different documents , i which there is introduction part or abstract part and main content of the document.. we need to visualize abstract from the document separately and information of document separately and then calculate the distance between words
as per the distance calculated, we show that abstract is relevant to the information
I want to visualise these documents using T-SNE using word embedding(tokenising) file which is 2d (GloVe - global vectors) available can share on request,
then, calculate the distance between the words from abstract/introduction and words from the remaining information of same document.
the note pdff file has the idea of how to calculate this distance using convhull (convex hull) mechanism present in T-SNE
as per the distance calculated, we show that abstract is relevant to the information
I want to visualise these documents using T-SNE using word embedding(tokenising) file which is 2d (GloVe - global vectors) available can share on request,
then, calculate the distance between the words from abstract/introduction and words from the remaining information of same document.
the note pdff file has the idea of how to calculate this distance using convhull (convex hull) mechanism present in T-SNE