nlp-tutorial and mindspore-nlp-tutorial

nlp-tutorial
51
Established
mindspore-nlp-tutorial
46
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 1,375
Forks: 262
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 141
Forks: 27
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About nlp-tutorial

lyeoni/nlp-tutorial

A list of NLP(Natural Language Processing) tutorials

This project helps you understand how to build systems that analyze and process human language, specifically covering tasks like categorizing news articles, determining the sentiment of movie reviews, matching questions with answers, and translating text between languages. It takes raw text data as input and produces categorized labels, sentiment scores, matching questions/answers, or translated text as output. This resource is for anyone interested in learning about or implementing natural language processing (NLP) applications.

text-classification sentiment-analysis question-answering machine-translation natural-language-understanding

About mindspore-nlp-tutorial

lvyufeng/mindspore-nlp-tutorial

Natural Language Processing Tutorial for MindSpore Users

This project provides a comprehensive guide for developers learning how to build natural language processing (NLP) models using the MindSpore framework. It offers practical examples covering various NLP tasks, from predicting the next word to sentiment classification and machine translation. Users will input text data and model configurations, and receive trained NLP models capable of understanding and generating human language.

natural-language-processing machine-learning-engineering deep-learning-development text-analytics AI-model-training

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