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simplilearn.com /2 weeks ago

Natural Language Processing Techniques: A Beginner’s Guide | Simplilearn

TL;DR: NLP helps computers understand, read, analyze, and generate human language. Common NLP techniques include tokenization, stemming, lemmatization, POS tagging, named entity re...

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bioengineer.org /1 week ago

NLP Outperforms ICD-10 in Capturing Clinical Data

In a groundbreaking development poised to transform clinical data interpretation, recent research has demonstrated that Natural Language Processing (NLP) tools vastly outperform th...

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kdnuggets.com /3 weeks ago

3 NLTK Tricks for Advanced Text Preprocessing & Linguistic Analysis

In this article, we will walk through three essential NLTK tricks to elevate your text preprocessing: preserving phrase integrity with the MWETokenizer, context-aware lemmatization...

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kdnuggets.com /3 weeks ago

3 NLTK Tricks for Advanced Text Preprocessing & Linguistic Analysis

In this article, we will walk through three essential NLTK tricks to elevate your text preprocessing: preserving phrase integrity with the MWETokenizer, context-aware lemmatization...

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medinform.jmir.org /5 days ago

Natural Language Processing Applied to Psychiatric Clinical Notes: Scoping Review

Background: Psychiatric clinical notes in electronic health records (EHRs) provide rich longitudinal information that can support clinical decision-making. Using historical medical...

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artificialintelligence-news.com /2 weeks ago

Advances in Natural Language Processing Are Changing Professional Networking

Natural language processing is reshaping professional communication on online platforms, enabling more relevant and personalised networking interactions. As AI-driven systems incre...

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elearningindustry.com /1 month ago

From "Where's The Report?" To "Here's The Answer": How AI Is Finally Speaking L&D's Language

NLQ, NLU, and NLG explained for L&D professionals—what each technology actually does, and how together they replace static reports with real-time answers that business leaders...

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machinelearningmastery.com /3 weeks ago

Clustering Unstructured Text with LLM Embeddings and HDBSCAN

The current era of Generative AI seems to primarily focus on chat interfaces and prompts, but the range of applications of large language models , or LLMs for short, is not limited...

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neurosciencenews.com /3 weeks ago

Human Brains and AI Share Predictive Language Processing Principles

The human brain and Large Language Models (LLMs) organize and predict language using deeply parallel information processing principles.

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recruiterflow.com /1 month ago

What True Natural Language Search Looks Like

Everyone is shipping “AI search” right now. Type a sentence and get candidates back but here’s the thing: Most Natural Language Search (NLS) out there is just Boolean hiding behind...

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machinelearningmastery.com /4 weeks ago

Building an End-to-End Sentiment Analysis Pipeline with Scikit-LLM

Traditional machine learning pipelines for predictive tasks like text classification usually rely on extracting structured, numerical features from raw text — for instance, TF-IDF...

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kdnuggets.com /1 month ago

5 Cool Things I Did with Local Language Models

I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.

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kdnuggets.com /1 month ago

5 Cool Things I Did with Local Language Models

I have been running local models as part of my daily workflow for some time, and what surprised me most is how often local turned out to be the better choice, not a compromise.

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dzone.com /1 month ago

LLM-Powered Deep Parsing for Industrial Inventory Search

Industrial ERPs often look structured on the surface: item IDs, purchase orders, stock levels. But in many companies, they are overloaded with unintentional duplicates because the...

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kdnuggets.com /1 month ago

3 SpaCy Tricks for Efficient Text Processing & Entity Recognition

In this article, we will explore three essential spaCy tricks that every developer should have in their toolkit to maximize processing speed and customize entity recognition.

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kdnuggets.com /1 month ago

3 SpaCy Tricks for Efficient Text Processing & Entity Recognition

In this article, we will explore three essential spaCy tricks that every developer should have in their toolkit to maximize processing speed and customize entity recognition.

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medium.com /1 month ago

Text Preprocessing in NLP

One of the most important steps in building language models is raw text data preprocessing.Continue reading on Medium »

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medium.com /1 month ago

How Do You Feed Words Into a Model That Only Understands Numbers? Meet Embeddings.

The idea that makes language models, recommendation systems, and semantic search actually workContinue reading on Medium »

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medium.com /1 month ago

機器學習：自然語言處理 (NLP) — 2

讀者筆記：這是我在學習 NVIDIA: Building Transformer-Based NLP Applications 過程中的記錄。內容若有理解偏差或技術錯誤，懇請各位前輩不吝在評論區指正，讓我們一起交流進步！Continue rea...

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towardsdatascience.com /1 month ago

Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Corpus scale

For AI engineers who want to understand every step, not just call the library The post Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Co...

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neurosciencenews.com /1 week ago

17 New Language Processing Regions in the Brain

A new study uses fMRI data from over 700 people to identify 17 new language-processing regions outside the brain's core canonical network.

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medium.com /1 month ago

Text Classification at Scale: Why It’s Harder Than It Looks, and How to Think About It

From “just use an LLM” to building systems that stay reliable across thousands of categoriesContinue reading on Medium »

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towardsdatascience.com /4 weeks ago

RAG Questions Need Parsing Too: Turn the User’s String Into Briefs for Retrieval and Generation

Enterprise Document Intelligence [Vol.1 #6a] - Why a user question deserves the same parsing as the document, and how it splits into a retrieval brief and a generation brief before...

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marktechpost.com /1 month ago

A Coding Hands-On on FineWeb for Streaming, Filtering, Deduplication, Tokenization, and Large-Scale Web Corpus Analytics

In this tutorial, we explore the FineWeb dataset through an advanced hands-on workflow. We stream a manageable sample of the dataset without downloading the full multi-terabyte cor...

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