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This repository contains code and resources for a SMS (Short Message Service) classification project using Word2Vec embeddings. The goal of the project is to classify SMS messages into spam or non-spam categories. The Word2Vec model is utilized for word embeddings, capturing semantic relationships between words in the SMS corpus.
ganeshbaravkargb22/Text_Preprocessing_NLP
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This repository contains code and resources for a SMS (Short Message Service) classification project using Word2Vec embeddings. The goal of the project is to classify SMS messages into spam or non-spam categories. The Word2Vec model is utilized for word embeddings, capturing semantic relationships between words in the SMS corpus.
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