Analyzing the impact of user-generated content on B2B Firms' stock performance: Big data analysis with machine learning methods: https://t.co/7z6VZ1U1mI
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
@DrLiuBigData @stanfordnlp To handle the unstructured #bigdata in the same way as structured data, data has to be transformed, which can be extremely time-consuming.
Trying to manage the increasing diversity of data while staying competitive? See what a #HybridDataManagement platform offering a powerful and flexible data foundation and a lower cost of deployment can do for your organization: https://t.co/lCHxDI2p5y
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.
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.
Significant task-time and cost savings, improved ROI and more - a commissioned @forrester study shows how the IBM Automation Platform for Digital Business drove quantifiable business benefits for a banking customer. Learn more here: https://t.co/pWw4NlQFP2 #automation#FinSvcs
Three key strategies to employ #AI where it’s most effective and when it can help solve talent shortages in your company - read more via @Entrepreneur: https://t.co/2JZwYAogac
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.
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.
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
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