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.indm…

Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods: doi.org/10.1016/j.indm…

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.jbus…

Are brand-targeting social #bots distorting information? A #bigdata analytics of #brand social bots on Twitter: researchgate.net/publication/33…

The next frontier for marketing and advertising luxury is in artificial intelligence ( #AI ), machine learning and #NLP . See how we transform #bigdata into insights for #luxury brands and how we operationalize marketing constructs with unstructured #bigdata : researchgate.net/publication/33…

This JBR article uses big data analytics to derive quantifiable luxury insights (doi.org/10.1016/j.jbus…). 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.

This study ( doi.org/10.1016/j.jbus… ) 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.

Analyzing the impact of user-generated content on B2B Firms' stock performance: #Bigdata analysis with #machinelearning methods. This study (doi.org/10.1016/j.indm…) investigates whether UGC has differential impacts on stock performance for B2B and B2C firms.

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.jbus…

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.jbus…

Applying the dual perspective of customer engagement, this research (doi.org/10.1016/j.jbus…) examines the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a luxury brand's social media activities on customer engagement.

The goal of this study (doi.org/10.1016/j.jbus… …) is to utilize big data to investigate the effects of luxury brands' social media marketing on customer engagement.

Applying the dual perspective of customer engagement, this research (doi.org/10.1016/j.jbus…) examines the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a luxury brand's social media activities on customer engagement.

The findings in this paper have important implications for the design, delivery, and management of social media marketing for luxury brands to engage customers with social media content: #bigdata , #MachineLearning , #NLP and #ArtificialIntelligence . doi.org/10.1016/j.jbus…

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.jbus…

Manipulating and Scrutinizing Big Data with Powerful Tools, by Hal Varian: medium.com/@iheringguedes…

Is it possible to use #R for big data analysis? Here are tips Microsoft provides on Computing with Big Data in R: docs.microsoft.com/en-us/machine-…

Two machine learning models are good at deriving insights from unstructured #BigData . Latent Dirichlet Allocation is a topic model (@Java version in #Mallet ). Sentiment analysis: 2 algorithms are nice: #MaxEnt & #DeepLearning : stanfordnlp.github.io/CoreNLP/ in @Java by Stanford NLP Group

The research from MIT Media Lab on emotions, computers and machine learning: media.mit.edu/groups/affecti…

Artificial intelligence ( #AI ), Social bots and the Banking Industry's customer service platforms: cmo.com.au/article/635526…