Simply stating, text classification is all about putting a piece of text into a set of (mostly predefined) categories.
I have a large corpus of opinions (2500) in raw text. I would like to use scikit-learn library to split them …
machine-learning scikit-learn classification cross-validation text-classificationI'm reasonably new to machine learning, I've done a few projects in python. I'm looking for advice on how to …
machine-learning text-classification fuzzy-comparison record-linkageI want to perform text classification using word2vec. I got vectors of words. ls = [] sentences = lines.split(".") for i …
python-3.x word2vec gensim text-classificationWe know that BERT has a max length limit of tokens = 512, So if an article has a length of much …
nlp text-classification bert-language-modelI am using the bert-for-tf2 library to do a Multi-Class Classification problem. I created the model but training throws the …
machine-learning nlp text-classification tensorflow2.0 tf.kerasIs there any example on how can TensorFlow be used for text classification using neural networks?
text-classification tensorflowI use Weka to successfully build a classifier. I would now like to evaluate how effective or important my features …
machine-learning nlp weka feature-selection text-classificationAlmost all of the examples are based on numbers. In text documents i have words instead of numbers. So can …
svm knn document-classification text-classificationI have over 15000 text docs of a specific topic. I would like to build a language model based on the …
scikit-learn text-classificationI am struggling to use Random Forest in Python with Scikit learn. My problem is that I use it for …
machine-learning classification scikit-learn random-forest text-classification