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SMSuraj Mullaaimllearninghub.hashnode.dev3d ago · 8 min read

Text Preprocessing in NLP: Tokenization, Stemming & Lemmatization

Text preprocessing is one of the most important steps in Natural Language Processing (NLP). Before a Machine Learning model can understand and analyze human language, raw text needs to be cleaned and

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CTCqlsys Technologies Pvt. Ltdai-cloud-digital-transformation-company-cqlsys-technologies.hashnode.devFeb 2 · 4 min read

Implementing NLP in Real Businesses: A Practical Guide to AI-Driven ROI

In the current digital landscape, data isn't just power—it’s a conversation. Every day, companies are buried under mountains of unstructured text, from customer emails to legal contracts. Bridging the gap between this raw data and actionable insights...

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NRNamal Rizwannlp-notes.hashnode.devDec 18, 2025 · 6 min read

What is NLP in Machine learning?

After reading this article, you’ll be able to understand some of the fundatmental concepts of Natural Language Preprcessing (NLP). So we’ll start by understanding what exactly is NLP. What is NLP? Natural Language preprocessing or simply NLP is the b...

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Rredbloxaihow-nlp-ai-redefines-customer-service.hashnode.devNov 1, 2025 · 1 min read

How NLP Is Redefining Customer Services in the Digital Age

This blog explains how NLP based AI is transforming customer service by making support faster, smarter, and more personalized. Learn how AI automation improves response time, reduces workload, and delivers better customer experience, Read Here Fully ...

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JWJames Woodjameswood32.hashnode.devMay 23, 2025 · 5 min read

The Future of NLP App Development: Trends to Watch in 2025

As artificial intelligence continues to redefine the digital landscape, Natural Language Processing (NLP) is emerging as one of the most transformative technologies. From chatbots and voice assistants to sentiment analysis and machine translation, NL...

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AAASHIFaashif.hashnode.devJun 24, 2024 · 4 min read

UDA - Unstructured Document Analysis

UDA: A Benchmark Suite for Retrieval-Augmented Generation in Real-world Document Analysis Introduction In recent years, the use of Retrieval-Augmented Generation (RAG) has significantly enhanced the capabilities of Large Language Models (LLMs), enabl...

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LBLansa Bloglansa.hashnode.devFeb 22, 2024 · 1 min read