Questions tagged [document-term-matrix]

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building embeddings for Phrases from scratch

I have a datadet with many phrases which I would like to embed them from scratch. I dont want the cosine of the words in order to get a phrase embedding, this is because the phrases may appear in a ...
Christina Valavani's user avatar
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2 answers
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How to interpret k=1 when summing over k? Is there something wrong with this equation?

I am having a hard time understanding the following equation to do with document clustering. Is there something wrong with it? $$\ln \left(\prod_{n=1}^N \sum_{k=1}^K p\left(x_n \mid z_n, k=1\right) p\...
Kirsten's user avatar
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Topic Modeling - n-grams or 1,2,3,...n-grams?

Do people use n-grams or 1,2,3,...n-grams in both matrix factorisation and generative models in Topic Modeling? I've been trying to understand the basics of Topic Modeling and came to know that there ...
rahuladwani's user avatar
1 vote
0 answers
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LIterature on query generation from a labelled document term matrix

I have a labelled dataset of relevant and non-relevant documents for which I built a boolean document term matrix. I am trying to develop an algorithm which given this input would create a text-based ...
Bakaburg's user avatar
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1 vote
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Matching documents from different sets with tfidf and cosine distance

I have two different set of documents S1, S2, with 30 text documents each. Using some text representation method, such as tfidf ...
lynx's user avatar
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1 answer
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Text mining in Amazon product review using R. I wasn't able to extract the particular product's review

Text mining on Amazon product review using R Program. I wasn't able to extract the particular product's review(i.e.If iphone 11 has 6k review, I need to extract all of it.) I'm getting only one column ...
c.harish chandrasekaran's user avatar
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1 answer
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Is it possible to classify documents of corpus using labels?

I have a corpus of 23000 documents that need to be classified into 5 different categories. I do not have any labeled data available to me, just freeform text documents and labels(yes, one-word labels, ...
Uttakarsh Tikku's user avatar
4 votes
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183 views

Bag of words: Prediction on new (out-of-sample) data

I'm working with a bag of words in R: library(tm) corpus = VCorpus(textsource) dtm = DocumentTermMatrix(corpus) dtm = as.matrix(dtm) I use the matrix ...
Peter's user avatar
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