01이 칸의 논문
- EXPRESS: Evaluating Novel Unstructured Treatments with Generative AI: A Causal Prediction Framework
- A Deep-DiD Method to Estimate Heterogeneous Treatment Effects: Application to Content Creator Selection
- Unraveling Multifaceted User Preferences on Digital Platforms: A Bayesian Deep-Learning Approach
- AI for Customer Journeys: A Transformer Approach
- An AI Method to Score Celebrity Visual Potential
- Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks
- AdGazer: Improving Contextual Advertising with Theory-Informed Machine Learning
- A Topic-Based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews
- Paralanguage Classifier (PARA): An Algorithm for Automatic Coding of Paralinguistic Nonverbal Parts of Speech in Text
- Consumer Behavior in the Online Classroom: Using Video Analytics and Machine Learning to Understand the Consumption of Video Courseware
- Attribute Sentiment Scoring with Online Text Reviews: Accounting for Language Structure and Missing Attributes
- Identifying Market Structure: A Deep Network Representation Learning of Social Engagement
- Attribute Embedding: Learning Hierarchical Representations of Product Attributes from Consumer Reviews
- Dynamics of Musical Success: A Machine Learning Approach for Multimedia Data Fusion
- A Poisson Factorization Topic Model for the Study of Creative Documents (and Their Summaries)
02같은 주제, 다른 방법
- Natural Affect DEtection (NADE): Using Emojis to Infer Emotions from Text
- Fields of Gold: Scraping Web Data for Marketing Insights
- Beyond Sentiment: The Value and Measurement of Consumer Certainty in Language
- A New Livestream Retail Analytics Framework to Assess the Sales Impact of Emotional Displays
- Improving Text Analysis Using Sentence Conjunctions and Punctuation
- Uniting the Tribes: Using Text for Marketing Insight
- Large-Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning
- Harvesting Brand Information from Social Tags
- Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation