Tutorial-on-word2vec-embedding This is a tutorial on word2vec embedding as a part of DA_623, with the subtopic: Analyze word2vec embedding by demonstrating clustering on a subtitle file of a movie of ...

Forked from TensorLayer: Deep learning and Reinforcement learning library for TensorFlow - xiao2mo/tensorlayer ...

Delving into the heart of recent developments in natural language processing (NLP), this investigation explores the transformative impact of Word2Vec. Unveiling the principles, architectural ...

Motivated by this deficiency, this paper presents a Word2Vec extension for incorporating domain-specific labels. The goal is to improve the ability to differentiate between embeddings of words ...

Beyond Word2Vec and GloVe: The Emergence of Contextualized Embeddings Recently, new models have emerged that enhance word embeddings significantly. Models such as ELMo, BERT, and GPT generate ...

Word2Vec, which leverages a neural network, is effective at capturing contextual relationships and sentence-level similarity. In contrast, WordNet, a structured semantic database, excels at word-level ...