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Browse tags that are relevant to the NLP Collective. A tag is a keyword or label that categorizes a question with other, similar questions.
Natural language processing (NLP) is a subfield of artificial intelligence that involves transforming or extracting useful information from natural language data. Methods include machine-learning and …
20666 questions
The Natural Language Toolkit is a Python library for computational linguistics.
7124 questions
Industrial strength Natural Language Processing (NLP) with Python and Cython
3859 questions
Transformers is a Python library that implements various transformer NLP models in PyTorch and Tensorflow.
3466 questions
Questions on the open source natural language processing software from the Stanford University NLP Group, in Java, Python, and C, including Stanford CoreNLP, Stanza, and GloVe.
3303 questions
Gensim is a free Python framework designed to automatically extract semantic topics from documents, as efficiently (computer-wise) and painlessly (human-wise) as possible.
2459 questions
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used …
2292 questions
Sentiment analysis refers to categorizing some given data as to what sentiment(s) it expresses. Usually, it refers to extracting sentiment from text, e.g. tweets or blog posts.
2008 questions
BERT, or Bidirectional Encoder Representations from Transformers, is a method of pre-training language representations which obtains state-of-the-art results on a wide array of Natural Language Proces…
1805 questions
Named-entity recognition (NER) (also known as entity identification and entity extraction) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefi…
1501 questions
“Term-frequency ⨉ Inverse Document Frequency”, or “tf-idf”, measures how important a word is to a document in a collection or corpus.
1312 questions
For questions about word embedding, a language modelling technique in natural language processing. Questions can concern particular methods, such as Word2Vec, GloVe, FastText, etc, or word embeddings …
1117 questions
Topic models describe the frequency of topics in documents and text. A "topic" is a group of words which tend to occur together.
987 questions
For questions specific to spaCy version 3, an Industrial-Strength Natural Language Processing tool in Python. Use the more generic tag `spacy` for general questions about the spaCy.
347 questions
Question Answering is the computer task of mechanically answering questions posed in natural language.
(Please do not use this tag to indicate that you have a question and want an answer. That's alre…
247 questions
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