Word embeddings: Beyond word2vec.

 Word embeddings is a very convenient and efficient way to extract semantic information from large collections of textual or textual-like data. We discuss a comparison of the performance of  embeddings techniques like word2vec and GloVe as well as fastText and StarSpace in NLP related problems such as metaphor and sarcasm detection.

Kostas joined Argos in 2017 as a Lead Machine Learning engineer. Prior to Argos, he worked at Royal Mail, Mailonline, Pearson and in research; he was involved in a broad range of projects from European FP6 research programs to EdTech, Analytics, Search, Predictive Modelling using Machine Learning and AI.