DataSift VEDO Intent Combines Machine Learning, Social Data

Machine learning applied to social data and made easy for developers to use: This is the premise behind the new VEDO Intent technology from DataSift.

Machine learning applied to social data and made easy for developers to use: This is the premise behind the new VEDO Intent technology from DataSift.

“Human data intelligence” provider DataSift said VEDO Intent will allow its users to use its machine learning capabilities to help determine the intent of their audiences on social networks, and then follow that up by taking the appropriate actions.

The company added that VEDO Intent will help marketers reach conclusions such as potential customers’ intent to churn or move forward with purchases.

According to DataSift, VEDO Intent works by manually classifying posts by social network users into categories including rant, rave, purchase intent and churn, and it then suggests and, eventually, fully automates the process of classifying those posts and analyzing the data to answer questions such as:

  • Which products are people considering buying?
  • How satisfied are my customers? Are they thinking of leaving me?
  • How important is this campaign message?
  • Are my target markets interested in my marketing program?
  • Which parts of my service prompt the best reviews?

DataSift also announced its launch of the FORUM initiative, aimed at enabling its “partner ecosystem of data scientists, developers and analysts to develop and productize advanced algorithms and applications for human-created data.”

The company said it will publish and maintain foundational, statistical models for members of its FORUM, starting with the release of its first statistical model Thursday, Keyword Relationship Model, which “applies deep learning algorithms to help analysts explore related hashtags, keywords and topics that are related, based on analyzing more than 2 billion items of data.”

DataSift chief product officer Tim Barker said in a release announcing VEDO Intent and the FORUM:

Organizations have long recognized the huge potential of social data–it’s the voice of the market and the voice of your customer. Companies are now hungry to go beyond sentiment analysis into more advanced insights. Social data has evolved. Everyone from financial institutions through to the United Nations refers to it, and we recognized that people need actionable, nuanced insights from social data to better understand their audience’s mood and intent.

With our FORUM initiative, we want to drive and support innovation and advances in analytics, data science and machine learning algorithms. By providing data scientists and developers with access to foundation models, we can help accelerate the entire ecosystem to gain deeper insights from the world’s social data.

Readers: Do any of you have experience with machine learning?


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