And you can erase the app's personalized data at any time in Settings, Personalization, Clear Language Data.
First of all, people need to be informed about how their data will be used in clear and simple language: what data are collected, for what purposes and for how long they will be stored.
Today, the most formidable tools to effectively manage unstructured data include natural language processing, ontologies and data mining, which together support the effective use of unstructured data.
Mr. Rogers says the company has been working to customize weather, language and location data for a new thermostat that will work in European homes.
As I wrote in an earlier post for Forbes, a variety of companies, ranging from Facebook to IBM are investing heavily in systems that combine natural language with Big Data.
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Users can interact with the data through Excel or a language like R, but all the data and the calculations are consistent, he said.
In financial services, companies are tagging financial data with a language called XBRL, which helps identify related items in different financial documents and allows computers to automatically generate complex financial reports.
As I previously wrote in Forbes, companies ranging from IBM to Google to Microsoft are racing to combine natural language processing with huge Big Data systems in the cloud that we can access from anywhere.
Watson is a cognitive system that can process massive amounts of data, including natural language.
Spoken language is in itself a serial data type: it must be consumed in time from front to back.
EBay labs employs economists, machine learning and machine vision experts, data miners, natural language processors and human computer interaction specialists.
One of the paradoxes about visual data, compared to language information, is that the more there is, the clearer the picture.
The software uses an analysis of language, statistics, and call data.
He told us that two of the biggest hurdles faced by his team were dealing with the massive amount of data and incorporating natural language search.
Location information is another common meta-data component of the new language.
Grokker acts as a plug-in that sits on top of a search engine and, by reading tags written into the data with the XML software language, arranges the results of a search into a ring of spheres or an array of squares labeled to show each one's relationship.
One option, she says, is to give existing analytics specialists new training in big-data skills such as the programming language Python.
It was not easy but he was able to use cutting-edge technologies to scan huge amounts of data as well as parse natural language queries.
Key to the data transformation is the Extensible Stylesheet Language, which provides information to identify what type of device is requesting information and what kind of network it is running on.
The simplest approach may be through the technology offered by Splunk, which has its own search language that allows you to search through big data, identify useful query types, and express your developing understanding of the structure of the data as you search.
Watson is designed to "understand" natural language requests and then access vast quantities of unstructured data to find the best answers to questions.
The method starts by making use of well-established linguistic data on words and grammar within these language families, and building "family trees" of those languages.
Deutsche Bank has chosen to use the Reuters NewsScope database which contains data from 2003 on and applies natural language processing algorithms to the wire stories to measure sentiment.
Ahead of time, some traders may have worried that recently stronger-than-forecast economic data might have prompted some kind of language from the Fed that could hint at less accommodation, Meger said.
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Second, hospitals will invest in automation and natural language understanding (NLU) to make sense of large data sets so they can get insight it into the hands of decision-makers in a timely fashion.
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By entering certain strings of text into user input boxes on Web sites, cybercriminals are able to confuse their commands with data in a site's Structured Query Language (SQL) database and gain control of it, says Grossman.
Hence, by using less restrictive language now, it will not need to revise if positive data emerges.
Workday's software makes prodigious use of the Web's extensible markup language, or xml, which facilitates sharing of documents or data among applications.
That includes the private and regulated data people inappropriately provide about themselves, the abusive language, the bad images, the spam, and even the exploits.
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The system will combine what are called formal argumentation techniques with Natural Language Generation (NLG), which essentially converts complex information and data into text summaries.
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