nlp
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Example of a Vector Model Training for Fruit Pies To illustrate a vector model in the context of “fruit pies,” we’ll break down the process of training a vector model (such as a Word2Vec model) to represent different fruit pies in a way that captures their characteristics in a mathematical form (vectors). This approach is Read more
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Basics of Text Feature Engineering Techniques Text feature engineering involves transforming text data into numerical representations that can be used for machine learning models. Here are some common techniques: 1. Bag-of-Words (BoW) Concept: Represents text as a collection of words (or tokens), disregarding grammar and word order, but keeping multiplicity. Example: 2. N-Grams Concept: Extends Read more
Timbo Smash 