Understanding Natural Language Processing Basics

Understanding Natural Language Processing Basics

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Introduction

What is Natural Language Processing?

  • Definition and overview of NLP

Main Concepts

  1. Tokenization: Breaking down text into individual words or tokens
  2. Part-of-Speech Tagging (POS Tagger): Identifying the grammatical category of each word
  3. Named Entity Recognition (NER): Locating named entities in text\2. Sentiment Analysis: Determining the emotional tone of a piece of text

Practical Applications

  • Text Summarization: Automatically summarizing long documents into shorter versions* Sentiment Analysis for Customer Service: Using NLP to analyze customer feedback and sentiment\3. Chatbots and Virtual Assistants: Using NLP to power conversational interfaces\2.