1
vote
1answer
143 views

How does scikit-learn perform $\chi^2$ feature selection on non-categorical features?

I'm experimenting with $\chi^2$ feature selection for some text classification tasks. I understand that $\chi^2$ test checks the dependencies B/T two categorical variables, so if we perform $\chi^2$ ...
2
votes
1answer
93 views

How to do feature selection for learning from positive and unlabeled examples?

I have a binary classification task for German webpages for which I only have positive examples. That is why I use learning from positive and unlabeled examples as described on this page, also known ...
0
votes
1answer
67 views

Lucene-based text feature construction

When doing the feature construction for text mining, does Lucene has a better performance in terms of classification/clustering result than the traditional bag-of-word approach?
2
votes
0answers
81 views

Feature construction for text mining

In the text mining, besides N-gram model, what are the state-of-art models for building feature space while capturing the dependence among the different words, or capturing the semantic meaning in the ...
3
votes
1answer
389 views

Feature selection methods for document classtification

I have a simple document classification problem where i need to classify some documents to a definite set of classes. I need to perform a feature selection (where I will select the most important ...
4
votes
2answers
328 views

Feature selection for the text mining?

Before performing the task of text mining, we need to select the features for characterizing each given document. Are there any systematic guidance on choosing the document features? How does the ...
0
votes
1answer
159 views

How to get scored combination of features

My data looks like this (F=Features) ...