AWS Tel Aviv Summit 2018: Natural Language Processing for Data Analytics
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Amazon Web Services782 тыс
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02.04.18 – 26333:44Популярные
20 дней – 2 5660:07
Опубликовано 2 апреля 2018, 17:54
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The need for Natural Language Processing (NLP) is gaining more importance as the amount of unstructured text data doubles every 18 months and customers are looking to extend their existing analytics workloads to include natural language capabilities. Historically this data had been prohibitively expensive to store and early manual processing evolved into rule-based systems which were expensive to operate and inflexible.In this session we will show you how you can address this problem using Amazon Comprehend.
The need for Natural Language Processing (NLP) is gaining more importance as the amount of unstructured text data doubles every 18 months and customers are looking to extend their existing analytics workloads to include natural language capabilities. Historically this data had been prohibitively expensive to store and early manual processing evolved into rule-based systems which were expensive to operate and inflexible.In this session we will show you how you can address this problem using Amazon Comprehend.
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