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Articles

3 NLTK Tricks for Advanced Text Preprocessing & Linguistic Analysis

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By Matthew Mayo, Import Nltk
| KDnuggets Verified
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 with POS mapping, and statistical collocation extraction using association measures. Natural language processing (NLP) has undergone an obvious paradigm shift in recent years, with large language models (LLMs) and transformers handling complex end-to-end understanding tasks.
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Natural Language Processing (NLP) Programming

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By Import Nltk
| DEV Community
Natural Language Processing (NLP) is a fascinating field of artificial intelligence that focuses on the interaction between computers and human language. As a branch of AI, NLP enables machines to understand, interpret, and generate human language in a valuable way. In this post, we will explore the fundamentals of NLP programming and how you can get started in this exciting area. <!--more--> What is Natural Language Processing?
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From Words to Meaning: Linguistic Analysis in NLP (Part 3)

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By Import Nltk
| DEV Community
We’ve cleaned and structured our text, but understanding language isn’t just about removing noise—it’s also about analyzing meaning, context, and structure. Now, let’s explore Linguistic Analysis, where text transforms from raw words into structured, machine-readable knowledge. 1️⃣ Part-of-Speech (POS) Tagging: Understanding Sentence Structure 📌 Problem: Words can have multiple meanings based on context.
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