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  2. Latent Dirichlet allocation - Wikipedia

    en.wikipedia.org/wiki/Latent_Dirichlet_allocation

    In natural language processing, latent Dirichlet allocation (LDA) is a Bayesian network (and, therefore, a generative statistical model) for modeling automatically extracted topics in textual corpora.

  3. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing (NLP), a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  4. Apache OpenNLP - Wikipedia

    en.wikipedia.org/wiki/Apache_OpenNLP

    The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as language detection, tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing and coreference resolution.

  5. Attention (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Attention_(machine_learning)

    During the deep learning era, attention mechanism was developed to solve similar problems in encoding-decoding. [1]In machine translation, the seq2seq model, as it was proposed in 2014, [16] would encode an input text into a fixed-length vector, which would then be decoded into an output text.

  6. Natural language - Wikipedia

    en.wikipedia.org/wiki/Natural_language

    In neuropsychology, linguistics, and philosophy of language, a natural language or ordinary language is any language that occurs naturally in a human community by a process of use, repetition, and change without conscious planning or premeditation.

  7. Spark NLP - Wikipedia

    en.wikipedia.org/wiki/Spark_NLP

    Spark NLP for Healthcare is a commercial extension of Spark NLP for clinical and biomedical text mining. [10] It provides healthcare-specific annotators, pipelines, models, and embeddings for clinical entity recognition, clinical entity linking, entity normalization, assertion status detection, de-identification, relation extraction, and spell checking and correction.

  8. Part-of-speech tagging - Wikipedia

    en.wikipedia.org/wiki/Part-of-speech_tagging

    These findings were surprisingly disruptive to the field of natural language processing. The accuracy reported was higher than the typical accuracy of very sophisticated algorithms that integrated part of speech choice with many higher levels of linguistic analysis: syntax, morphology, semantics, and so on.

  9. National Library of the Philippines - Wikipedia

    en.wikipedia.org/wiki/National_Library_of_the...

    web.nlp.gov.ph The National Library of the Philippines ( Filipino : Pambansang Aklatan ng Pilipinas or Aklatang Pambansa ng Pilipinas , abbreviated NLP , Spanish : Biblioteca Nacional de Filipinas ) is the Philippines ' official repository of information on cultural heritage and other literary resources.

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