Semantic Search Engine with Natural Language Processing Techniques Using Python
This code demonstrates the implementation of a semantic search engine using various natural language processing techniques, including text preprocessing, tokenization, stopword removal, TF-IDF vectorization, and cosine similarity. The code showcases the ability to retrieve relevant documents based on the semantic meaning of the user's query, rather than just matching keywords.
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