All Questions
Tagged with bag-of-words machine-learning
7 questions with no upvoted or accepted answers
4
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Google gender-pay gap vs
Background:
I read this:
google schools US government about gender pay gap.
It derives from this google blog post by Eileen Naughton, VP of People Operations.
She asserts that google is somehow "...
- 9,853
1
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0
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71
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Bag of Visual Words: is feature extraction even needed?
I'm currently implementing a BoVW as part of my lab project. The steps the algorithm used are as follows:
spliting all photos into patches
cluster these pathces using K-means based on pixel values of ...
- 107
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
1
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82
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What is the difference between training examples generated by continuous bag of words (CBOW) and skip-gram?
This is a simple question that is hard for me:
Let's consider simple sentence
A B C D
and create training examples for skip-gram training (x, y) with number of ...
- 498
1
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412
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Low score in sentiment analysis : how to increase it and maybe deal with class imbalance
It has been 2 weeks now I am working on SemEval task 4 (2016) : Sentiment Analysis on Twitter.
The results I achieve are lower than what I expected for the three class classification problem : ...
- 203
1
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61
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Treating numerals/cardinals in Bag of Words (BOW) model
I wish to do topic modeling on text corpus some of which are about company earnings which has lots of numbers in it. It has no sentence structure. I think tagging numbers using nltk.pos_tagging can ...
- 343
0
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47
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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