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20 GitHub Repositories to Master Natural Language Processing (NLP)

Marktechpost

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. Transformers is a state-of-the-art library developed by Hugging Face that provides pre-trained models and tools for a wide range of natural language processing (NLP) tasks.

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Rapid Keyword Extraction (RAKE) Algorithm in Natural Language Processing

Analytics Vidhya

Rapid Automatic Keyword Extraction(RAKE) is a Domain-Independent keyword extraction algorithm in Natural Language Processing. It is an Individual document-oriented dynamic Information retrieval method. The post Rapid Keyword Extraction (RAKE) Algorithm in Natural Language Processing appeared first on Analytics Vidhya.

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Natural Language Processing Using CNNs for Sentence Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Sentence classification is one of the simplest NLP tasks that have a wide range of applications including document classification, spam filtering, and sentiment analysis. A sentence is classified into a class in sentence classification.

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Enhancing healthcare documentation with IDP

AI News

Healthcare documentation is an integral part of the sector that ensures the delivery of high-quality care and maintains the continuity of patient information. With the advent of intelligent document processing technology, a new solution can now be implemented.

IDP 270
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Natural Language Processing (NLP): Unlocking Inclusivity and Equitable Futures in Capital Infrastructure Planning

Unite.AI

Natural Language Processing (NLP) and Artificial Intelligence (AI) emerge as a powerful tools to revolutionize capital infrastructure planning, foster inclusivity, and drive an equitable future by engaging communities in decision-making.

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How Do You Convert Text Documents to a TF-IDF Matrix with tfidfvectorizer?

Analytics Vidhya

This is where the term frequency-inverse document frequency (TF-IDF) technique in Natural Language Processing (NLP) comes into play. Introduction Understanding the significance of a word in a text is crucial for analyzing and interpreting large volumes of data. appeared first on Analytics Vidhya.

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Revolutionizing Document Processing Through DocVQA

Analytics Vidhya

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document.