Simply stating, text classification is all about putting a piece of text into a set of (mostly predefined) categories.
I am using scikit-learn for classification of text documents(22000) to 100 classes. I use scikit-learn's confusion matrix method for computing the …
python matplotlib matrix scikit-learn text-classificationI have a csv, struct is CAT1,CAT2,TITLE,URL,CONTENT, CAT1, CAT2, TITLE ,CONTENT are in chinese. I want …
python scikit-learn classification text-classificationI'm doing different text classification experiments. Now I need to calculate the AUC-ROC for each task. For the binary classifications, …
python scikit-learn text-classification roc multiclass-classificationI have tried to build a CNN with one layer, but I have some problem with it. Indeed, the compilator …
python keras text-classification keras-layerI have a one-dimensional array with large strings in each of the elements. I am trying to use a CountVectorizer …
python numpy scikit-learn text-classificationI am new to Python and to Stackoverflow(please be gentle) and am trying to learn how to do a …
python csv text-classificationI am using Scikit-learn for text classification. I want to calculate the Information Gain for each attribute with respect to …
python machine-learning scikit-learn text-classification feature-selectionI want to add a few more words to stop_words in TfidfVectorizer. I followed the solution in Adding words …
python scikit-learn classification stop-words text-classificationI am getting the following error while calling the model.predict function when running a text classification model in keras. …
python keras shape text-classificationThe text data is organized as vector with 20,000 elements, like [2, 1, 0, 0, 5, ...., 0]. i-th element indicates the frequency of the i-th word in …
python tensorflow text-classification multilabel-classification