Mine Your Own Business: Market-Structure Surveillance Through Text Mining
Columbia University · Hebrew University of Jerusalem
Abstract
Web 2.0 provides gathering places for Internet users in blogs, forums, and chat rooms. These gathering places leave footprints in the form of colossal amounts of data regarding consumers' thoughts, beliefs, experiences, and even interactions. In this paper, we propose an approach for firms to explore online user-generated content and “listen” to what customers write about their and their competitors' products. Our objective is to convert the user-generated content to market structures and competitive landscape insights. The difficulty in obtaining such market-structure insights from online user-generated content is that consumers' postings are often not easy to syndicate. To address these issues, we employ a…
Citation impact
- FWCI
- 23.30
- Percentile
- 100%
- References
- 78
Authors
4Topics & keywords
- Competitor analysis
- Computer science
- Topic model
- User-generated content
- Targeted advertising
- Market structure
- Data science
- The Internet