How Phrase Structure can help Machine Learning for Text Analysis

[fa icon="calendar'] Apr 28, 2017 1:00:00 PM / by Bitext posted in API, Machine Learning, Text Analytics

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This post dives into one of the topics of a previous post "Machine Learning & Deep Linguistic Analysis in Text Analytics". We referred to the strong points of Machine Learning technology for insight extraction. We also stated that using variations of classical "bag of words" models limits the ability of Machine Learning to extract insights. Here we go into some detail on this last statement.

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Machine Learning & Deep Linguistic Analysis in Text Analytics

[fa icon="calendar'] Mar 24, 2017 4:01:23 PM / by Bitext posted in Machine Learning, Text Analytics

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Text analysis is becoming a pervasive task in many business areas. Machine Learning is the most common approach used in text analysis, and is based on statistical and mathematical models. Linguistic approaches, which are based on knowledge of language and its structure, are far less frequently used. These two approaches are often seen as alternative or competing approaches.

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What to expect from AI and Machine Learning in 2017

[fa icon="calendar'] Jan 20, 2017 3:35:20 PM / by Tita Risueño posted in Machine Learning, Artificial Intelligence

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2016 has been a very successful year for Artificial Intelligence and for Machine Learning, however both fields have an incredible potential to grow, and that is what we expect to see in this newly started year.

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