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Rapid Keyword Extraction (RAKE) Algorithm in Natural Language Processing

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview 1. 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.

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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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Serve Machine Learning Models via REST APIs in Under 10 Minutes

KDnuggets

However, it: Validates input data automatically Returns meaningful responses with prediction confidence Logs every request to a file (api.log) Uses background tasks so the API stays fast and responsive Handles failures gracefully And all of it in under 100 lines of code. She co-authored the ebook "Maximizing Productivity with ChatGPT".

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NotebookLM + Deep Research: The Ultimate Learning Hack

KDnuggets

Step 1: Choose a Topic To we will start by selecting a topic within the fields of AI, machine learning, or data science. Step 4: Leverage NotebookLM’s Tools Audio Overview This feature converts your document, slides, or PDFs into a dynamic, podcast-style conversation with two AI hosts that summarize and connect key points.

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Generative AI: A Self-Study Roadmap

KDnuggets

By combining pre-trained models with external knowledge sources, RAG systems provide accurate, up-to-date information while maintaining the natural language capabilities of foundation models. Architecture Patterns : Simple RAG systems retrieve relevant documents and include them in prompts for context.

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The 7 Most Useful Jupyter Notebook Extensions for Data Scientists

KDnuggets

By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 18, 2025 in Data Science Image by Author As a data scientist, Jupyter Notebook has become one of the first platforms we learn to use, as it allows for easier data manipulation compared to standard programming IDEs.

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Latent Semantic Analysis and its Uses in Natural Language Processing

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Analyzing texts is far more complicated than analyzing typical tabulated data (e.g. retail data) because texts fall under unstructured data. Different people express themselves quite differently when it comes to […].