Natural Language Processing (NLP) and Information Retrieval

Enhancing TF-IDF Vectorization with Multithreading and Sparse Matrices for Efficient Similarity Search As the volume of textual data continues to grow exponentially, efficient and accurate similarity search algorithms are crucial for a wide range of applications, including recommendation systems, document clustering, and plagiarism detection. Traditional techniques, such as TF-IDF vectorization, struggle to cope with the…