All Questions
Tagged with word-embeddings bag-of-words
7 questions
1
vote
0
answers
25
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What is a word embedding approach that would work for these pre-labeled documents?
My Situation:
I should start off with my end goal: I want to get a distance metric between each document and all of the other documents
To get there, I first need to encode these topic labels so that ...
- 595
0
votes
0
answers
47
views
Continuous Bag of Words NY Time Corpus
I am working to implement the continuous bag of words approach on the New York Times corpus dataset. However, I am getting word embeddings that do not seem very useful based on a few examples of ...
- 51
1
vote
2
answers
735
views
Text classification with small dataset for a specialized domain
I have a multiclass text classification problem where I have very few documents for each class. The classes are imbalanced but I want to be able to predict the class when I have at least 200 - 300 ...
- 77
1
vote
1
answer
22
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Group of word representations
For word representation baseline people use bag-of-words or word embedding. Here, I want to understand all approaches that can be used for word representations. For example:
-Bag-of-words (tfidf, n-...
- 11
7
votes
1
answer
3k
views
Word2Vec : Difference between the two Weight matrices
In Word2Vec algorithm, two weight matrices are learnt :
W : Input-hidden layer matrix
W': Hidden-output layer matrix
For reference, CBOW model architecture:
Why is W chosen to represent the word ...
- 73
2
votes
1
answer
690
views
Find most similar sentence from one list of sentences to another
I have two lists of short sentences (List A and List B). For each short sentence in List A, I am trying to find the most similar short sentence in List B.
Each list has a different count of elements ...
- 21
6
votes
1
answer
2k
views
Understanding Word2Vec
I am trying to understand the word2vec algorithm (Mikolov et. al) but there are a few thing which I do not understand.
I get that the activation from the input layer ot the hidden layer is linear and ...
- 337