Tech-Clarity

Making the value of technology clear

  • Published Research
    • eBooks
    • White Papers
    • Survey Results
    • Buyer’s Guides
    • Infographics
  • Research Invitations
    • Survey Invitations
    • Assessments
  • Presentations & Videos
    • Webinars
    • Live Presentations
    • Tech-Clarity TV
    • Virtual Events
  • Insights & Activity
    • In the News
    • Insights
  • About
    • Tech-Clarity Team
    • Jim Brown
    • Michelle Boucher
    • Julie Fraser
    • Arvind Krishnan
  • Search
  • Search
  • Date

Sentiment Analysis

Mining Social Network Emotions and Opinions for Product Development

What I learned this week …came from an article in The New York Times by Alex Wright. The article, Mining the Web for Feelings not Facts, was a great look into a concept that is new to me, an emerging field called “sentiment analysis.” The article defines sentiment analysis as “translating the vagaries of human emotion into hard data.” The examples show companies using data analysis techniques to gain insight into what social media (such as social networks and blogs) are saying about their company. My thoughts immediately turned to the value this information would have to product developers to understand how customers feel about their products, and what a great tool this could be in the social computing toolkit for PLM.

    Jim Brown - August 26, 2009 - Filed Under: What I Learned - Tagged With: PLM, Social Computing, Social Product Development, Engineering, Innovation, Product Development, Social Networking, Analytics, Social Discovery, Sentiment Analysis

    Join our community to receive our newsletter and survey invitations.

    Copyright © 2012-2024 – Tech-Clarity, Inc.

    • Contact
    • Privacy Policy
    • Date

    • LinkedIn
    • Facebook
    • LinkedIn
    • Facebook

    Copyright © 2012-2024 – Tech-Clarity, Inc.