1. Articles in category: Segmentation

    25-48 of 544 « 1 2 3 4 5 ... 21 22 23 »
    1. Cognitive Systems Spending Market: North America to Witness Robust Growth Rate

      Future Market Insights VALLEY COTTAGE, New York , January 19, 2017 /PRNewswire/ -- "The US$ 5.49 Bn global cognitive systems spending market will witness a massive hike in the revenues, reaching a whopping US$ 21.46 Bn by the end of 2026. Over the 10-year assessment period 2016-2026, the global cognitive systems spending market will expand at a healthy CAGR of 14.6%, gaining a healthy incremental opportunity of over US$ 15 Bn . "

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    2. Cognitive Systems Spending Market Will Hit at a CAGR 14.6% from 2016 to 2026

      Receive press releases from Future Market Insights: By Email RSS Feeds: Cognitive Systems Spending Market Will Hit at a CAGR 14.6% from 2016 to 2026 Future Market Insights has announced the addition of the "Cognitive Systems Spending Market: Global Industry Analysis and Opportunity Assessment, 2016–2026" report to their offering.

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    3. Dynamic instructional course

      The present disclosure provides systems and techniques for delivering a realistic, engaging, personalized, online version of the case method pedagogy to one student or hundreds of thousands of students worldwide. A method may include presenting a first segment of instructional course content to a first user. A first input may be received from the first user and a portion of the first input that is associated with a second segment of instructional course content may be identified. As a result, the second segment of instructional course content may be presented to the first user. The method may also include receiving ...

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    4. Cognitive Systems Spending Market Will hit at a CAGR 14.6% from 2016 to 2026

      Submitted by Pradnya Kulkarni . The US$ 5.49 Bn global cognitive systems spending market will witness a massive hike in the revenues, reaching a whopping US$ 21.46 Bn by the end of 2026. Over the 10-year assessment period 2016-2026, the global cognitive systems spending market will expand at a healthy CAGR of 14.6%, gaining a healthy incremental opportunity of over US$ 15 Bn .

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    5. Asia Pacific Emotion Detection & Recognition Market (2016-2022)

      January 12, 2017 at 15:18 PM EST Asia Pacific Emotion Detection & Recognition Market (2016-2022) LONDON , Jan. 12, 2017 /PRNewswire/ -- The latest emotion detection and recognition systems have successfully incorporate touch and touchless technologies which are used to capture human emotional quotient with unique and tailor made solution suites to meet the needs of the end users' environment.

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      Mentions: Japan India China
    6. North America Emotion Detection & Recognition Market 2016-2022 - Research and Markets

      North America Emotion Detection & Recognition Market 2016-2022 - Research and Markets [January 09, 2017] Research and Markets has announced the addition of the "North America Emotion Detection & Recognition Market (2016-2022)" report to their offering. Consumer behaviour is relatively a new field of study and it evolved into mainstream post second world war. The sellers' dominant market has slowly disappeared and buyers dominated market has steadily grown.

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    7. North America Emotion Detection & Recognition Market 2016-2022 - Research and Markets

      January 09, 2017 at 13:12 PM EST North America Emotion Detection & Recognition Market 2016-2022 - Research and Markets Research and Markets has announced the addition of the "North America Emotion Detection & Recognition Market (2016-2022)" report to their offering. Research and Markets has announced the addition of the "North America Emotion Detection & Recognition Market (2016-2022)" report to their offering.

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    8. Automatic classification of segmented portions of web pages

      Exemplary methods and apparatuses are provided which may be used for classifying and indexing segmented portions of web pages and providing related information for use in information extraction and/or information retrieval systems. In an embodiment, an index of segmented portions may be used by a search engine to respond to a search query. In an embodiment, one or more machine learned models may be used to identify one or more feature properties of a plurality of segmented portions within one or more files, or otherwise inferable from the one or more files. In an embodiment, one or more machine ...

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    9. Natural Language Processing (NLP) Market Growth to Be Driven by Technological Advancements

      Natural Language Processing (NLP) Market Growth to Be Driven by Technological Advancements Natural language processing is segmented on the basis of type, technology, service, deployment model, vertical and region. New York, Natural Language processing (NLP) is a field of computer science and artificial intelligence that is concerned with the interaction between computer and human language. Natural language processing basically works as a bridge between human and machines.

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    10. Systems, methods, software and interfaces for entity extraction and resolution and tagging

      For automated text processing, the inventors devised, among other things, an exemplary system that includes an entity tagger, an entity resolver, a text segment classifier, and a relationship extractor. The entity tagger receives an input text segment, and tags named entities with the segment as being a person, company, or place. The entity resolver accesses authority files, and associates the persons and companies named in the text segment with specific entries in the files. The text segment classifier determines whether the text segment includes a relationship event, such as job-change event or merger and acquisition event, and if an event ...

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    11. Interactive segment extraction in computer-human interactive learning

      A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling ...

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    12. User-configurable settings for content obfuscation

      An aspect of providing user-configurable settings for content obfuscation includes, for each media segment in a media file, inputting the media segment to a neural network, applying a classifier to features output by the neural network, and determining from results of the classifier images in the media segment that contain the sensitive characteristics. The classifier specifies images that are predetermined to include sensitive characteristics. An aspect further includes assigning a tag to each of the images in the media segment that contain the sensitive characteristics. The tag indicates a type of sensitivity. An aspect also includes receiving at least one ...

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    13. Natural Language Processing (NLP) Market: Drivers And Restraints 2015 - 2021

      Submitted by aarti_PMR . Natural Language Processing (NLP) is a field of computer science and artificial intelligence that is concerned with the interaction between computer and human language. Natural language processing basically works as a bridge between human and machines. It enhances the interaction by analyzing the written and spoken languages and the pattern accordingly.

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    14. Systems and methods for natural language generation

      A method includes receiving a corpus comprising a set of pre-segmented texts. The method further includes creating a plurality of modified pre-segmented texts for the set of pre-segmented texts by extracting a set of semantic terms for each pre-segmented text within the set of pre-segmented texts and applying at least one domain tag for each pre-segmented text within the set of pre-segmented texts. The method further includes clustering the plurality of modified pre-segmented texts into one or more conceptual units, wherein each of the one or more conceptual units is associated with one or more templates, wherein each of the ...

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    15. Worldwide Natural Language Processing (NLP) Market: Drivers, Challenges and Industry Key Events 2015 to 2021

      Worldwide Natural Language Processing (NLP) Market: Drivers, Challenges and Industry Key Events 2015 to 2021 Natural language processing is segmented on the basis of type, technology, service, deployment model, vertical and region. New York, NY -- ( SBWIRE ) -- 08/11/2016 -- Natural Language processing (NLP) is a field of computer science and artificial intelligence that is concerned with the interaction between computer and human language.

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    16. Content presentation method, content presentation device, and program

      A content presenting method of the present disclosure includes: a history collecting step of collecting a viewing history of a user; a determining step of analyzing the viewing history to determine an active time segment in which an output section is in a state of being viewed; a data collecting step of collecting meta data assigned to a viewed content; an analyzing step of analyzing the meta data to extract a word representing the content; a profile generating step of generating, for each active time segment, a user profile based on the extracted word; a calculation step of calculating an ...

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    17. Method and device for acoustic language model training

      A method and a device for training an acoustic language model, include: conducting word segmentation for training samples in a training corpus using an initial language model containing no word class labels, to obtain initial word segmentation data containing no word class labels; performing word class replacement for the initial word segmentation data containing no word class labels, to obtain first word segmentation data containing word class labels; using the first word segmentation data containing word class labels to train a first language model containing word class labels; using the first language model containing word class labels to conduct word ...

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    18. SegmentAnt 1.1.0 (Freeware)

      SegmentAnt 1.1.0 (Freeware)

      changelog Freeware Seamlessly segment Chinese and Japanese texts into separate tokens that you can use in text-to-speech or linguistic analysis projects Generally speaking, there are very few situations when the computational processing of written text into separate constitute tokens is not performed in the first place. SegmentAnt is a specialized application designed to help you segment text content that is written in Chinese and Japanese.

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    19. Neural Word Segmentation Learning for Chinese. (arXiv:1606.04300v1 [cs.CL])

      Most previous approaches to Chinese word segmentation formalize this problem as a character-based sequence labeling task so that only contextual information within fixed sized local windows and simple interactions between adjacent tags can be captured. In this paper, we propose a novel neural framework which thoroughly eliminates context windows and can utilize complete segmentation history.

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    20. Graph-Community Detection for Cross-Document Topic Segment Relationship Identification. (arXiv:1606.04081v1 [cs.CL])

      In this paper we propose a graph-community detection approach to identify cross-document relationships at the topic segment level. Given a set of related documents, we automatically find these relationships by clustering segments with similar content (topics). In this context, we study how different weighting mechanisms influence the discovery of word communities that relate to the different topics found in the documents.

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    25-48 of 544 « 1 2 3 4 5 ... 21 22 23 »
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
  2. Popular Articles

  3. Organizations in the News

    1. (8 articles) Microsoft
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    3. (6 articles) Google
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    6. (3 articles) Cagr
    7. (3 articles) SAS Institute Inc.
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