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WTwajahat tajai-ml-datascience-from-scratch.hashnode.devMay 13 · 11 min read

Building CivicAI Part 1: When No Dataset Exists, You Build One

Series: Building an AI-Powered Municipal Complaint Management System from Scratch The Problem Nobody Talks About Every ML tutorial starts the same way: "First, load your dataset." But what do you do

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SSShivankur Sharmashivankur018.hashnode.devApr 30 · 4 min read

Infosys Springboard: PaperIQ

Overview As part of the Infosys Springboard DSAI Virtual Internship, I worked on building PaperIQ, an end-to-end intelligent system designed to analyze research papers and convert them into structured

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WTwajahat tajai-ml-datascience-from-scratch.hashnode.devApr 23 · 14 min read

Building a Full-Stack AI-Powered Municipal Civic Issue Management System from Scratch

From a 200-Row Dataset to a Deployed ML-Powered Platform — A Complete Developer Journey Introduction Have you ever reported a pothole to your city and never heard back? Or seen overflowing garbage bin

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Rroachroach-wiki.comFeb 21 · 7 min read

TF-IDF 와 BM25

최근 벡터 데이터베이스 설계와 구축이라는 책을 스터디하고 있는데, 거기서 TF-IDF 라는 개념을 배우게 되었다. 이전에 ES 를 쓰고 있어서 어림잡아 알고 있긴했는데, 이번 기회에 확실히 코드로 작성하며 숙달하고 이해하고 넘어가려고 한다. 오늘은 TF-IDF 의 의미를 알아보고 코드로 작성하며 이해해보자. 이 글에서 corpus 라는 용어를 많이 쓰게

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UNUnaiza Noumantf-idf-and-vsm-ranking.hashnode.devOct 7, 2025 · 4 min read

How Google Thinks: The Magic of TF-IDF Explained Simply

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...

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SCSatyam Chatroladeep-dives.hashnode.devAug 9, 2025 · 6 min read

Deconstructing TF-IDF: From First Principles to Production-Ready Heuristics

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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WHWalid Hajeri (WalidHaj)walidhajeri.hashnode.devMay 1, 2025 · 1 min read

AI Sketchbook Series #2- Text Representation - Bag-of-Words TF-IDF

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 ...

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KJKhushal Jhaveribuilding-an-ai-that-understands-emotions.hashnode.devApr 15, 2025 · 3 min read

📦 How I Used TF-IDF, Word2Vec, and MLPs to Analyze Sentiment in Amazon Reviews

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...

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RKRahul Kumardata-science-notes.hashnode.devApr 13, 2025 · 8 min read

🧠 Zero to Hero : Text Vectorization

📌 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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AVAvdhesh Varshneyavdhesh-blogs.hashnode.devNov 23, 2024 · 6 min read

Text Representation in NLP

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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#tf-idf

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Trending tags this week

Building CivicAI Part 1: When No Dataset Exists, You Build One

Infosys Springboard: PaperIQ

Building a Full-Stack AI-Powered Municipal Civic Issue Management System from Scratch

TF-IDF 와 BM25

How Google Thinks: The Magic of TF-IDF Explained Simply

Deconstructing TF-IDF: From First Principles to Production-Ready Heuristics

AI Sketchbook Series #2- Text Representation - Bag-of-Words TF-IDF

📦 How I Used TF-IDF, Word2Vec, and MLPs to Analyze Sentiment in Amazon Reviews

🧠 Zero to Hero : Text Vectorization

Text Representation in NLP