How Google Thinks: The Magic of TF-IDF Explained Simply
Oct 7, 2025 · 4 min read · How Search Engines Understand Text: The Magic Behind TF-IDF Have you ever searched for something on Google and instantly got the most relevant results?You type a few words… and in milliseconds, it finds exactly what you were thinking. But how does it...
Join discussionDeconstructing TF-IDF: From First Principles to Production-Ready Heuristics
Aug 9, 2025 · 6 min read · In the vast universe of Natural Language Processing (NLP), amidst the rise of complex transformer architectures, some foundational algorithms remain indispensable. TF-IDF is one such pillar. It's a technique that allows us to numerically represent te...
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AI Sketchbook Series #2- Text Representation - Bag-of-Words TF-IDF
May 1, 2025 · 1 min read · For this next installment in our series demystifying AI concepts, we delve into how the meaning and importance of words within a document can be numerically captured. Bag-of-Words (BoW) offers a straightforward approach by representing a text as the ...
Join discussion📦 How I Used TF-IDF, Word2Vec, and MLPs to Analyze Sentiment in Amazon Reviews
Apr 15, 2025 · 3 min read · So during one of my early NLP experiments, I came across a massive dataset of Amazon product reviews, and thought — can I train a model to automatically detect whether a review is positive, negative, or neutral? I knew that many people had done senti...
Join discussion🧠 Zero to Hero : Text Vectorization
Apr 13, 2025 · 8 min read · 📌 What is Text Vectorization? In NLP, machines can’t understand text directly — they understand numbers. Text vectorization is the process of converting textual data into numerical vectors so that we can feed them into machine learning or deep learn...
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Text Representation in NLP
Nov 23, 2024 · 6 min read · Introduction What is Feature Extraction from text? To text representation To text recognition Why do we need it? Why is it difficult? What is the core idea? What are the techniques? OHE (One Hot Encoding) BOW (Bag of Words) ngrams TfIdf ...
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Understanding Large Language Models: Tokenization and TF-IDF Vectorization
Sep 29, 2024 · 4 min read · Large Language Models (LLMs) have become a cornerstone in natural language processing (NLP), enabling machines to understand, analyze, and generate human language. The power behind these models stems from the way they process and transform text data....
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Vectorization and its types
Oct 31, 2023 · 6 min read · Topics to be covered in the article: a. What is vectorization b. Importance of vectorization in machine learning c. Implementation with and without vectorization d. Vectorization Methods What is vectorization Vectorization as the name suggests is the...
Join discussionCreating a dashboard for restaurant with sentiment analysis using tf-idf and data analytics
Aug 30, 2023 · 13 min read · The project GitHub link is Restaurant-Sentiment, Do visit and if you like it give it a star, If you want to use it then clone the repo, create a .env file in api folder and add the database URL. Part 1- Creation of sentiment analysis model Step 1: U...
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