Tom Davis (@DataminingGuru) profile picture

CTO and data scientist at a small startup company, helping clients get actionable insights from #bigdata

Arlington, TX
Joined May 2017
We investigate whether UGC has differential impacts on stock performance for B2B and B2C firms. We collect a #bigdatas of 84 million tweets from 20.3 million Twitter accounts and 8 years of stock data for 407 companies from the S&P500 index: doi.org/10.1016/j.indmarman.…
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Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods: doi.org/10.1016/j.indmarman.…
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CEO Ginni Rometty discusses the importance of building relevant skills in an era where technology will affect every job: cnb.cx/2Wkzl68
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This paper uses #bigdata to study the impact of a luxury brand's social media marketing activities on customer engagement. The findings have important implications for the design, delivery, and management of social media marketing for luxury brands: doi.org/10.1016/j.jbusres.20…
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Are brand-targeting social #bots distorting information? A #bigdata analytics of #brand social bots on Twitter: researchgate.net/publication…
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Applying the dual perspective of customer engagement, this research (doi.org/10.1016/j.jbusres.20…) examines the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a luxury brand's social media activities on customer engagement.
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This research project leverages the potential of big data to gain insights on actual customer engagement behavior resulting from a luxury brand's social media marketing activities: doi.org/10.1016/j.jbusres.20…
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The goal of this study (doi.org/10.1016/j.jbusres.20… …) is to utilize big data to investigate the effects of luxury brands' social media marketing on customer engagement.
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This study answers marketing scholars' calls for research into understanding the relationship between a firm's engagement activities and the resulting customer engagement using big data: doi.org/10.1016/j.jbusres.20…
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This study ( doi.org/10.1016/j.jbusres.20… ) used a fixed-effects (FE) model to analyze panel data consisting of 900 monthly observations for 15 luxury brands. An interesting application of #bigdata analytics and natural language processing.
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This JBR article uses big data analytics to derive quantifiable luxury insights (doi.org/10.1016/j.jbusres.20…). The top 15 luxury brands with the highest number of Twitter followers, identified from PMX Agency's (2017) list of luxury brands per Twitter follower counts, were included.
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This research utilizes #bigdata to examine the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a #luxury #brand's social media activities on customer engagement with brand-related #socialmedia content: doi.org/10.1016/j.jbusres.20…
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What is "Information" in machine learning: "Let E be some event which occurs with probability P(E). If we are told that E has occurred, then we say that we have received I(E) ... bits of information." from cs.cmu.edu/~roni/10601-slide…
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It all started with a spark of inspiration from a video game. The result is a whole new way of interacting with software. Learn about SAP Inscribe: spr.ly/6018DowYE
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Watch Ginni Rometty’s #Cebit18 keynote on #AI, data responsibility and the era of exponential learning here: ibm.co/2tc4EQb
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Can artificial intelligence (#AI) truly decipher human emotions? theconversation.com/will-ai-…
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.@McDonalds kicks off the national marketing of its new $1 $2 $3 Dollar Menu with traditional and social media campaigns meant to educate customers about its latest value play: bit.ly/2Eo9rSB
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My friend Bono explains the potential we could unlock if the gender gap in education was closed: b-gat.es/2CTTO8q #GirlsCount
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Learn how APIs are rising in value through real-world case studies. teapawt.net/cards/po5f…
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