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Decision-Oriented Analysis of Social Media Posts Using AI is the Focus of TMRE Session Presented by Northern Light CEO


News provided by

Northern Light

Jul 01, 2020, 08:49 ET

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BOSTON, July 1, 2020 /PRNewswire/ -- Northern Light® (www.northernlight.com) CEO C. David Seuss presented a virtual session at The Market Research Event (TMRE) Digital Week on June 24, about the value of new, AI-driven tools for "decision-oriented analysis" of social media posts to help set and refine an organization's product marketing strategy.

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Northern Light offers AI-powered knowledge management platforms for market research, competitive intelligence and social analytics
Northern Light offers AI-powered knowledge management platforms for market research, competitive intelligence and social analytics
The Market Research Event
The Market Research Event

Seuss' talk, entitled "Using Machine Learning to Make Social Media Marketing Decisions," focused on analyzing Twitter – the most text content-rich social media platform – for the specific purpose of gleaning business insights valuable to marketing professionals.  Among the important questions such analysis can provide answers to include:

  • Which hashtags are related to my topic, and how important are each of the related hashtags?
  • What author, audiences, and keywords should I buy advertising against?
  • Which Twitter authors should I try to influence?
  • What can I learn about my competitors' business strategies from the hashtags they use in their social media posts?

"Assessing simple co-occurrence of Twitter hashtags is insufficient, and often downright misleading, for marketers of complex products," Seuss asserted in his presentation.  "Understanding the context of the social media conversation is vital to derive a truly meaningful analysis of hashtag and keyword overlaps."

Seuss explained that using AI and machine learning techniques to measure the semantic similarity of hashtags leads to far more accurate analysis that gets at the importance, from a business perspective, of seemingly related terms.  In addition, Seuss noted that the best way to quantitatively measure the importance of related hashtags is not simply to count the number of posts in which they appear, but rather to gauge "net impressions": count the number of followers of each post with the co-occurring hashtags being evaluated, and then take out the overlap.

Seuss illustrated his points with examples from the pharmaceutical, insurance, and other industries drawn from Northern Light Social Analytics, Northern Light's AI-based tool that enables social media analysis for research and planning.  A free public beta version is available at http://social-analytics.ai.

About Northern Light
Northern Light has been providing knowledge management platforms for competitive intelligence and market research insights to global enterprises since 1996.  The company pioneered the application of machine learning and artificial intelligence for the automated analysis and extraction of meaning from large collections of market research and competitive intelligence, and its SinglePoint™ enterprise knowledge management platform was honored as one of KMWorld's Trend-Setting Products of 2019.  Northern Light's current clients include Fortune 1000 leaders across multiple industries such as information technology, pharmaceuticals, telecommunications, and life sciences.  Northern Light has over 250,000 users of its strategic research portals.  Headquartered in Boston, Massachusetts, Northern Light has unique content aggregation partnerships with more than 150 of the world's leading syndicated technology and industry research publishers, aggregates business and technology news from over 6,500 news sources, and is a charter member of the Center for Complex Systems and Enterprises at the Stevens Institute of Technology.

Media Contact:
David Domeshek
(508) 873-7068
[email protected]

SOURCE Northern Light

Related Links

http://www.northernlight.com

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