Sentences with phrase «natural language content»

Not exact matches

«People can simply tell it to play music, get answers, connect with friends and find content — all by using natural language,» the company says.

I don't mean this literally: The «from» line might still be your company's name, but the content should feel as if it comes from a human being, speaking in the first person (using «I» or «we» and addressing the recipient as «you»), with natural - sounding language.

NeedTagger combines powerful natural language filters and your keywords to identify people on Twitter that need your products, services, content and advice.

The Keywee team calls on their unique backgrounds in natural - language processing and Big Data to solve a rapid - growing pain for publishers and content marketers: finding the audiences most likely to act in accordance with specific business goals and crafting better - performing content for those audiences.

One of the new, successful trends is the use of «natural language» in content.

As Google has improved at understanding natural language, this may be better described as Subject Matter Dilution: writing content that wanders without any clear theme.

The example of classifying rooms according to content, moreover, is similar in structure to a classic problem in natural language processing called topic modeling, in which a computer attempts to use the relative frequency of words to classify documents according to topic.

Roku's Gracenote - powered content search has also been improved in the back end with better natural language recognition and contextual search capabilities.

RAVN Systems: RAVN uses natural language processing and machine learning to index, organise, discover and summarise content.

* According to a recent article, Jackson is an expert in «information retrieval (search), document categorization (automated indexing of content), machine learning (the design of algorithms that enable software to learn from and make decisions based on data patterns), and natural language processing (in which software can summarize content, convert computer language into human language and vice versa, or make a computer speak with human tones).»

Our technology uniquely combines behavior and emotional analysis, unsupervised content classification and natural language processing to help users navigate unstructured data (emails, text messages, legal documents, etc.) and identify case - relevant facts in seconds instead of hours or even days.

He borrowed a definition of the semantic web that described it as ``... an evolving extension of the World Wide Web in which web content can be expressed not only in natural language, but also in a form that can be understood, interpreted and used by software agents, thus permitting them to find, share and integrate information more easily».

As these solutions have evolved over the years, changes have largely (and we are painting with a broad brush here) involved natural language search, expansions in content, usability, connections between content resources, and intelligent recommendations.

Together, we're transforming the way people access stored content — they can use natural language queries via voice or text to search for photos, videos, files or emails stored across different calendars, email services, Windows 10 devices, as well as content stored on different services like OneDrive, Dropbox, Baidu, Google Drive, Exchange, or Gmail.

Roku customers can use voice control with a Roku remote or the Roku mobile app to find content on a TV, whereas Roku's all - new voice assistant would use natural language processing to spot your requests and serve up content across different Roku devices, even if your TV is off.

In addition to the natural language understanding, the ingested catalog content is used to help train automated speech - recognition (ASR) models to translate spoken word into the correct text, particularly for more challenging linguistic translations such as principal and principle, which are homophones.

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