New Technology From Stanford

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This topic contains 1 reply, has 1 voice, and was last updated by  Henry Brown 4 years, 8 months ago.

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  • #180350

    Henry Brown
    Participant

    IMO this has the potential to have a great deal of impact on MOST things related to Web 2.0. Whether it be social networking, big data collection/analysis, and or ???? and all done by the big computer in the sky.

    Wonder how much any vendor would pay facebook/Twitter/Linkenid for an analysis of their product on their network?

    Wonder how much more influence that the “friends”/followers of politicians would have over the political direction of various levels of government would have?

    From Stanford Engineering News:

    Stanford algorithm analyzes sentence sentiment, advances machine learning

    NaSent is a powerful new ‘recursive deep learning’ algorithm that gives machines the ability to understand how words form meaning in context.

    People express opinions every day on issues large and small. Whether the topic is politics, fashion or films, we often rate situations and experiences on a sliding scale of sentiment ranging from thumbs up to thumbs down.

    The program, dubbed NaSent – short for Neural Analysis of Sentiment – is a new development in a field of computer science known as “Deep Learning” that aims to give computers the ability to acquire new understandings in a more human-like way.
    People express opinions every day on issues large and small. Whether the topic is politics, fashion or films, we often rate situations and experiences on a sliding scale of sentiment ranging from thumbs up to thumbs down.

    As we increasingly share these opinions via social networks, one result is the creation of vast reservoirs of sentiment that could, if systematically analyzed, provide clues about our collective likes and dislikes with regard to products, personalities and issues.

    Against this backdrop, Stanford computer scientists have created a software system that analyzes sentences from movie reviews and gauges the sentiments they express on a five-point scale from strong like to strong dislike.

    The program, dubbed NaSent – short for Neural Analysis of Sentiment – is a new development in a field of computer science known as “Deep Learning” that aims to give computers the ability to acquire new understandings in a more human-like way.

  • #180352

    Henry Brown
    Participant

    Additional Commentary and information from Computing Community Consortium (CCC)

    NaSent: An Algorithm the Understands Sentences

    People express opinions every day on issues large and small. Whether the topic is politics, fashion or films, we often rate situations and experiences on a sliding scale of sentiment ranging from thumbs up to thumbs down.

    As we increasingly share these opinions via social networks, one result is the creation of vast reservoirs of sentiment that could, if systematically analyzed, provide clues about our collective likes and dislikes with regard to products, personalities and issues.

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