Machine learning and natural language capabilities will bring the power of analytics to more people through semantics.
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One of the greatest challenges we face in the digital generation is building the bridge between the abilities of the human thought process and the possibilities that lie within autonomous technology, particularly how we teach our human-like understanding of words in context to machines. Natural language processing (NLP) is a step towards developing this autonomous ‘thinking’ capability.
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This article takes a look at how Natural Language Processing is automating the complete text analysis process for enterprises. Also look at topics and grammar.
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One thing common with these tech giants is their willingness to open source their innovations. These range from sentiment analysis to text categorization
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Many programs such as chatbots and virtual assistants are made possible through the use of natural language processing or NLP
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Natural Language Processing has been on the rise — from simple text to speech conversion to powering intelligent voice assistants, we have seen various applications of NLP. Voice assistants like Siri and Alexa have become widely popular among users. Today, NLP has become a core component of all search engines. NLP for Business In the…
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Neuro-linguistic programming (NLP to its friends) has rocketed into the wellbeing zeitgeist, without much of an introduction.
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Facebook has shared an implementation for cross-lingual language model pretraining with the machine translation community to get NLP to the next level.
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