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 ...
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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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Nov 21, 2024 · 5 min read · What is NLP Pipeline? NLP is a set of steps followed to build an end-to-end NLP software. Pipeline provides the thinking to build any app from a basic level up to advanced or real time used applications. NLP software consists of the following steps...
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Jul 28, 2024 · 8 min read · Natural Language Processing (or NLP) is applying Machine Learning models to text and language. Teaching machines to understand what is said in spoken and written word is the focus of Natural Language Processing. Whenever you dictate something into yo...
Join discussionOct 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 discussionOct 2, 2023 · 3 min read · The Bag-of-Words (BoW) model is a fundamental technique in natural language processing (NLP) for converting text data into a numerical format. It represents a document as an unordered set of words, disregarding grammar and word order while emphasizin...
Join discussionJul 18, 2023 · 5 min read · Hi, I hope you are doing, so today we will discuss about a very commonly used and easy to understand word embedding technique called BOW. In this blog we willfirst start of with the basic introduction to word embeddings, techniques we can use for cre...
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