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Data · dataset · 2025

Traitement du langage naturel | Natural language processing

Listed in Borealis

Natural language processing (NLP) is a machine learning technique to analyze large amounts of text to extract information.

Description

Some examples are sentiment analysis, translation, transcription, summarizing, tagging, but NLP is a very broad term and can apply to anything text related. This tutorial consists of two notebooks.

The first notebooks delves into sentiment analysis using the Natural Language Tool Kit (NLTK). The second notebook focuses on classifying unlabeled data using an unsupervised machine learning algorithm. It also shows how to clean input data that optimizes the algorithm's ability to classify.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Text 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/CER6YQ12 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:4611mapping · borealisdata cavocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[modality].local:modality:textenrichment · borealisdata cakeyword-concept-rules@1.0.0title+description (75%)
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
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