Top "Nlp" questions

Natural language processing (NLP) is a subfield of artificial intelligence that involves transforming or extracting useful information from natural language data.

NLTK Named Entity Recognition with Custom Data

I'm trying to extract named entities from my text using NLTK. I find that NLTK NER is not very accurate …

python nlp nltk named-entity-recognition
CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling `cublasCreate(handle)`

I got the following error when I ran my pytorch deep learning model in colab /usr/local/lib/python3.6/dist-packages/…

nlp pytorch bert-language-model
Extract Word from Synset using Wordnet in NLTK 3.0

Some time ago, someone on SO asked how to retrieve a list of words for a given synset using NLTK's …

python nlp nltk wordnet
Implementing Bag-of-Words Naive-Bayes classifier in NLTK

I basically have the same question as this guy.. The example in the NLTK book for the Naive Bayes classifier …

python machine-learning nlp nltk naivebayes
How does Apple find dates, times and addresses in emails?

In the iOS email client, when an email contains a date, time or location, the text becomes a hyperlink and …

machine-learning nlp information-extraction named-entity-recognition
What’s a good Python profanity filter library?

Like https://stackoverflow.com/questions/1521646/best-profanity-filter, but for Python — and I’m looking for libraries I can run and control …

python nlp profanity
Efficient Context-Free Grammar parser, preferably Python-friendly

I am in need of parsing a small subset of English for one of my project, described as a context-free …

python parsing nlp grammar nltk
What programming language is most like natural language?

I got the idea for this question from numerous situations where I don't understand what the person is talking about …

programming-languages nlp
How to extract phrases from corpus using gensim

For preprocessing the corpus I was planing to extarct common phrases from the corpus, for this I tried using Phrases …

python nlp gensim
Understanding NLTK collocation scoring for bigrams and trigrams

Background: I am trying to compare pairs of words to see which pair is "more likely to occur" in US …

python nlp nltk