Abstract: Word2Vec (Word to Vector) processes natural language by calculating the cosine similarity. However, the serial algorithm of original Word2Vec fails to satisfy the demands of training of ...
The library implements the word2vec algorithm for Golang, leveraging the native runtime without relying on external servers or Python dependencies. This Golang module uses a CGO bridge to integrate ...
This repository provides a complete and practical implementation of the Word2Vec algorithm, specifically focusing on the Skip-Gram model combined with negative sampling. Using the Text8 dataset ...
Abstract: In order to improve the text matching degree and calculation accuracy of the short text classification method, this paper studies the optimization of the short text classification method of ...
Researchers have shown that an algorithm with no training in materials science can scan the text of millions of papers and uncover new scientific knowledge. They collected 3.3 million abstracts of ...