📃: Integration of TF-IDF and Word2Vec for Enhanced Text Analysis in NLP/Algorithms #73
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NLP
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SSOC
These issue/pull request will be considered for SSOC'24
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🔴 Title: Enhancing Text Analysis with Advanced Algorithms
🔴 Aim: To improve text analysis and natural language processing by incorporating TF-IDF and Word2Vec algorithms.
🔴 Brief Explanation: This update aims to enhance text analysis capabilities by integrating two powerful algorithms: TF-IDF (Term Frequency-Inverse Document Frequency) and Word2Vec. TF-IDF helps in identifying important words in a document relative to the entire corpus, while Word2Vec captures semantic meanings of words through vector representations.
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