Examples of using Text analytics in English and their translations into Chinese
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Azure Cognitive Services Text Analytics.
Text Analytics best practices and applications.
Text Analytics of Online Customer Reviews".
How social media text analytics can support business.
What Can Text Analytics Do for Your Organization?
Natural language processing is also being used for text analytics.
NLP and text analytics are used together for many applications, including.
Text analytics that organize unstructured data into“clean files” for RPA software.
BASIS TECHNOLOGY develops innovative products and solutions incorporating multilingual text analytics and digital forensics.
Text analytics is the process of examining text that was written about or by customers.
Ability to run new analytical workloads including machine learning, geospatial, graph and text analytics.
Text Analytics and Natural Language Processing are typical activities within a process of Sentiment Analysis.
Applications in natural language processing include smart home voice interfaces, text analytics, and bots.
Text analytics is a type of natural language processing that turns text into data for analysis.
This can include statistical algorithms, machine learning, text analytics, time series analysis and other areas of analytics. .
In addition, customer service reps could automate some requests using chatbots and text analytics, and automate customer signups.
Companies are awash with unstructured and semi-structured text, and many organizations already have some experience with NLP and text analytics.
Royal Bank of Scotland uses text analytics, an NLP technique, to extract important trends from customer feedback in many forms.
Lexalytics is a text analytics platform that translates billions of unstructured data pieces and online signals into actionable insights for the company.
A new Text Analytics Toolbox product, extensible datastore, more big data plots and algorithms for machine learning, and Microsoft Azure blob storage support.