In anticipation of their upcoming conference co-presentation, Enhancing search results relevance using Word2Vec Language Models at Text Analytics World Chicago, June 21-22, 2016, we asked Pengchu Zhang, Computer Scientist at Sandia National Laboratories, and John Herzer, Enterprise Search Project Lead at Sandia National Laboratories, a few questions about their work in text analytics. Q: In your work with text analytics, what behavior or outcome do your models predict? A: We use the Word2Vec Neural Network model in our search application to predict word usage in our corpus for a particular context. Word2Vec consists of two models, the Continuous Bag of Words (CBOW)
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