Word2vec Skip-Gram Dimensionality Selection
  • model selection
  • information criteria
  • minimum description length
Video Introduction

This video is adapted from 10.3390/e23080997

In recent years, word2vec has been widely applied to many aspects of Natural Language Processing (NLP) and information retrieval such as machine translation, text classification, text summarization, and named entity recognition. Furthermore, word2vec is used in various fields such as materials science, healthcare, and recommendation engines.

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Yamanishi, K.; Hung, P. Word2vec Skip-Gram Dimensionality Selection. Encyclopedia. Available online: https://encyclopedia.pub/video/video_detail/353 (accessed on 03 March 2024).
Yamanishi K, Hung P. Word2vec Skip-Gram Dimensionality Selection. Encyclopedia. Available at: https://encyclopedia.pub/video/video_detail/353. Accessed March 03, 2024.
Yamanishi, Kenji, Pham Hung. "Word2vec Skip-Gram Dimensionality Selection" Encyclopedia, https://encyclopedia.pub/video/video_detail/353 (accessed March 03, 2024).
Yamanishi, K., & Hung, P. (2022, June 28). Word2vec Skip-Gram Dimensionality Selection. In Encyclopedia. https://encyclopedia.pub/video/video_detail/353
Yamanishi, Kenji and Pham Hung. "Word2vec Skip-Gram Dimensionality Selection." Encyclopedia. Web. 28 June, 2022.