Natural language processing (NLP) is a subfield of artificial intelligence that involves transforming or extracting useful information from natural language data.
On occasion, circumstances require us to do the following: from keras.preprocessing.text import Tokenizer tokenizer = Tokenizer(num_words=my_…
python keras nlpWhat is the best way to add/remove stop words with spacy? I am using token.is_stop function and …
python nlp stop-words spacyI'm using the NLTK WordNet Lemmatizer for a Part-of-Speech tagging project by first modifying each word in the training corpus …
python nlp nltkinput: phrase 1, phrase 2 output: semantic similarity value (between 0 and 1), or the probability these two phrases are talking about the same …
algorithm nlp semanticsI just started using a part-of-speech tagger, and I am facing many problems. I started POS tagging with the following: …
python nlp nltk pos-taggerWhere can I get a corpus of documents that have already been classified as positive/negative for sentiment in the …
nlp machine-learning text-analysis sentiment-analysis training-dataI have a sentiment analysis task, for this Im using this corpus the opinions have 5 classes (very neg, neg, neu, …
machine-learning nlp scikit-learn svm confusion-matrix