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Tagged with binary-classificationnatural-language-processing
3 questions
1vote
1answer
330views
Which pre-processing steps are necessary for Deep Learning models to solve a document classification problem?
I have created a data set with 30.000 text documents (each text file is rather small with respect to its length), which are labelled with 0 and 1. Using this data set, I want to train machine learning ...
4votes
2answers
157views
Does summing up word vectors destroy their meaning?
For example, I have a paragraph that I want to classify in a binary manner. But because the inputs have to have a fixed length, I need to ensure that every paragraph is represented by a uniform ...
2votes
1answer
201views
How many parameter would there be in a logistic regression model used to classify reviews into "good" or "bad"?
Suppose we want to classify a review as good ($1$) or bad ($0$). We have a training data set of $10,000$ reviews. Also, suppose we have a vocabulary of $100,000$ words $w_1, \dots, w_{100,000}$. So ...