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Predicting Product Longevity via Social Media by Soham Mohite is a document available to read on EtoBox.
The paper presents a Knowledge Discovery in Databases (KDD) model to predict product market adoption and longevity using large-scale social media data, particularly from Twitter. It analyzes sentiment in tweets to assess consumer opinions on products, aiming to correlate these sentiments with product sales and longevity. The authors demonstrate the effectiveness of their approach through a case study involving smartphone data, highlighting the potential of social media as a valuable resource for understandi
- Author
- Soham Mohite
- Language
- EN