GitHub

Word2Vec From Scratch

Word2Vec is a family of neural network models that learn dense vector representations (embeddings) of words from large corpora of text. These embeddings capture semantic relationships between words, ...
marktechpost

How to Build a Complete End-to-End NLP Pipeline with Gensim: Topic Modeling, Word Embeddings, Semantic Search, and Advanced Text Analysis

In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...
IEEE

Intertextuality detection in literary texts using Word2Vec models

Abstract: This paper presents a research on using Google's Word2Vec model for intertextuality detection in literary texts. Word2Vec is considered a new and powerful Natural Language Processing ...
IEEE

Review on Word2Vec Word Embedding Neural Net

Abstract: The word2vec model consists of more useful applications in different NLP tasks. The semantic meaning given by word2vec for each word in vector representations has served useful task in ...
Scientific Research Publishing

Xi, X., Guo, Y., Song, X. and Wang, J. (2021) Research on the Technical Similarity Visualization Based on Word2vec and LDA Topic Model. Journal of the China Society for ...

ABSTRACT: Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can ...
The Aviationist

Northrop Grumman Releases First Air-to-Air Footage Of Model 437 Vanguard

A new video shows the Scaled Composites Model 437 Vanguard during its recent first flight. On August 29, 2024, Scaled Composites’ new Model 437 aircraft, named Vanguard and registered as N437VN, ...
GitHub

Paragraph vectors not working with prebuilt Word2Vec

private static Logger log = LoggerFactory.getLogger(WordToVecModelBuilder.class); public static void main(String[] args) throws Exception { String labeld = Config ...