Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
word2vec is a two layer neural network to process text. It takes words as an input and outputs a vector correspondingly. It uses a combination of Continuous Bag of Word and skipgram model implementation.
0
votes
1
answer
2k
views
Tagging documents for doc2vec
I am working on resume parsing script. I am trying to tag documents sentences with TaggedDocument function, provided by gensim.
What I have managed for now is to divide every text into sentence, put …
0
votes
Accepted
Tagging documents for doc2vec
I've managed to write a function that iterates over it for me:
class TaggedDocumentIterator(object):
def __init__(self, doc_list, labels_list):
self.labels_list = labels_list
self.doc_list = …
1
vote
2
answers
85
views
Doc2vec '-' symbol occurrence
Currently working on resume parser and struggled with embedding words with '-' symbols in them. Such as 'IT-manager'.
Vector representations of these words are incorrectly classified by doc2vec.
…