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: https://t.co/jfl0BvJN09
Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods: https://t.co/lCzmDCjXin
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: https://t.co/lXVur1FXGm
This JBR article uses big data analytics to derive quantifiable luxury insights (https://t.co/CiGY7owha0). 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.
@DrLiuBigData @stanfordnlp I love @Burberry digital marketing. It invests a lot in #bigdata and customer engagement on social media. However, is being interactive always going to pay off? How often should luxury brands post info? How exclusive shoud it be on social networks? Nothing seems to be conclusive.
This study ( https://t.co/5cVzJXvtOx ) 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 (https://t.co/lCzmDCjXin) investigates whether UGC has differential impacts on stock performance for B2B and B2C firms.
Applying the dual perspective of customer engagement, this research (https://t.co/4FyYeKyGHS) examines the influence of focusing on the entertainment, interaction, trendiness, and customization dimensions of a luxury brand's social media activities on customer engagement.
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: https://t.co/hjXpIgrvWo
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: https://t.co/W4ftyt4FWE
The goal of this study (https://t.co/RMmHG9md44 …) is to utilize big data to investigate the effects of luxury brands' social media marketing 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 . https://t.co/lXVur1FXGm
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: https://t.co/u2B6GqAzW3
“We have a misguided notion that children are empty vessels into which culture slowly pours itself as they mature,” say psychologist and #NASmember Mahzarin Banaji. Research shows that judging others starts at an early age. https://t.co/LPWA1OHILc
Big data of texts often requires a medley of tools in @java, #R, or #Python. A nice #NLP package called @stanfordnlp: https://t.co/VMsJ3k58SM is useful. I also like the @ApacheSpark MLib, with data-frame based API.