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An introduction to word2vec algorithm from absolute 0!

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Dive Into Word Embeddings with Word2Vec!

Welcome to our interactive journey through the fascinating world of word embeddings, where we unlock the secrets of Word2Vec and Doc2Vec! This repository houses an engaging lesson designed to introduce you to the foundational concepts and practical applications of word embeddings. Whether you're a seasoned data scientist or a curious beginner, this lesson is tailored to illuminate the path of natural language processing (NLP) and machine learning.

🌟 What You Will Discover

  • Understanding Word Embeddings: Kick off your adventure by exploring what word embeddings are and why they're a revolutionary step forward in text analysis.

  • Word2Vec Unveiled: Dive deep into the core of Word2Vec, understanding its expected outcomes and the magical way it captures the essence of words in a high-dimensional space.

  • Behind the Scenes: Unravel the general mechanism of Word2Vec, including its ingenious training methods that enable machines to grasp the nuances of human language.

  • Practical Wizardry: Step into the shoes of a data scientist and create your very own Word2Vec model. From setting up your environment with the necessary magical artifacts (libraries and data) to casting preprocessing spells, you're set for an enthralling ride.

  • From Words to Wisdom: Discover how to transform raw text into meaningful insights through pre-processing techniques, n-grams exploration, and the power of cosine similarity.

  • A Visual Feast: Embark on a visual quest to see the relationships between words unfold before your eyes, offering a tangible glimpse into the abstract world of word embeddings.

  • The Doc2Vec Realm: Venture further into the land of embeddings with Doc2Vec, learning how to prepare your data and model to capture the essence of entire documents.

📚 Prerequisites

Before you begin, ensure you have a basic understanding of Python and a passion for unraveling the mysteries of natural language using machine learning. This lesson assumes familiarity with fundamental programming concepts and a zest for learning new and exciting technologies.

🛠️ Get Started

Clone this repository to embark on a learning adventure filled with code examples, detailed explanations, and interactive exercises designed to solidify your understanding of word embeddings. Whether you're looking to enhance your NLP projects or simply curious about how machines understand language, this lesson is your gateway to a world of possibilities.

📖 Sources

We stand on the shoulders of giants, drawing inspiration and knowledge from a wide range of sources. Dive into our curated list of references to deepen your understanding and explore the vast landscape of NLP and machine learning.

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