How to use Word Embeddings in real-life (Part I)

[fa icon="calendar'] Sep 27, 2021 9:00:00 AM / by Bitext posted in Machine Learning, ml, ml algorithms, Word Embeddings, algorithms, computational

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While a lot of research has been devoted to analyzing the theoretical basis of word embeddings, not as much effort has gone towards examining the limitations of using them in production environments

This article is the first of a series about word embeddings as the basis for user-facing text analysis applications.

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Why Linguistics for Text Analysis?

[fa icon="calendar'] Sep 17, 2021 9:00:00 AM / by Bitext posted in Machine Learning, Bitext, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, ml

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In previous posts, we have outlined the crucial role of Machine Learning for Analytics (in How to Make Machine Learning more Effective using Linguistic Analysis?), and the implications of using Machine Learning for analyzing and structuring text (in How Phrase Structure helps Machine Learning?).  In a following post, we will explain how Linguistics can complement Machine Learning and how it can be integrated in the same technology stack.

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