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Natural Language Processing (NLP) stands at the intersection of linguistics and computer science. It’s a subfield of artificial intelligence (AI) focused on enabling machines to understand, interpret, and generate human language. This article provides an introduction to the fundamental concepts of NLP. Table of Contents Toggle 1. What is Natural Language Processing?2. Components of NLP3. Key Challenges in NLP4. Common Techniques and Methods5. Applications of NLPConclusion 1. What is Natural Language Processing? NLP seeks to

Natural Language Processing (NLP) is a vibrant subfield of artificial intelligence that focuses on the interaction between computers and humans through language. However, before any sophisticated NLP model can be applied, the raw data must undergo a series of preprocessing steps. In this article, we’ll walk through the crucial stages of data preprocessing in NLP, providing examples for clearer understanding. Table of Contents Toggle 1. Tokenization2. Lowercasing3. Stop Words Removal4. Stemming and Lemmatization5. Part-of-Speech (POS)

Named Entity Recognition (NER) is a fundamental task in the field of Natural Language Processing (NLP). It’s about classifying named entities in text into predefined categories. Let’s break down NER step by step, understanding its significance and exploring its applications with examples. Table of Contents Toggle 1. What is Named Entity Recognition (NER)?2. Steps in NER3. Techniques Used in NER4. Applications of NER5. Conclusion 1. What is Named Entity Recognition (NER)? NER is the process

Table of Contents Toggle Scenario: Loan Approval Times for Two BranchesHypotheses:Data:Two Independent Sample t Test: Scenario: Loan Approval Times for Two Branches You’re a data analyst at a national bank, and the bank’s management is interested in improving customer service. One of the metrics they’re focusing on is the time it takes to approve a loan application. The bank has recently implemented a new loan processing system at one branch (Branch B) and wants to

  Certainly! Let’s consider a real-world scenario where we would use a two independent sample z test: Table of Contents Toggle Scenario: Energy Drinks and Reaction TimesHypotheses:Data:Two Independent Sample z Test: Scenario: Energy Drinks and Reaction Times Imagine you work at a research institution and you’re tasked with investigating whether two different brands of energy drinks (let’s call them Brand A and Brand B) have any effect on the reaction times of individuals. You decide