.
AI's Blog – November 2017 Archive (1)
A framework for automated rating of online reviews against the underlying topics
Online reviews are valuable sources of relevant information that can support users in their decision making. An estimated 92% of online shoppers read online reviews, 88% trust online reviews as much as personal recommendations and they typically read more than 10 reviews to form an opinion. The objective
is to propose a framework aimed at improving user experience when faced with an…
Added by AI on November 15, 2017 at 2:30pm — No Comments
Latest Blog Posts
- The State of the Art in Implementing Machine Learning for Mobile Apps
- Machine Learning on Mobile: An On-device Inference App for Skin Cancer Detection
- A framework for automated rating of online reviews against the underlying topics
- A framework for automated rating of online reviews against the underlying topics
Most Popular Blog Posts
- Machine Learning on Mobile: An On-device Inference App for Skin Cancer Detection
- A framework for automated rating of online reviews against the underlying topics
- The State of the Art in Implementing Machine Learning for Mobile Apps
- A framework for automated rating of online reviews against the underlying topics
Blog Topics by Tags
- Learning (2)
- Machine (2)
- CNN (1)
- Cancer (1)
- Classification (1)
- Convolutional (1)
- Deep (1)
- Health (1)
- Image (1)
- Informatics (1)
- Networks (1)
- Neural (1)
- Skin (1)
- mHealth (1)
© 2021 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
