Semi-Supervised Technical Term Tagging With Minimal User Feedback

Semi-supervised and unsupervised categorization of posts in Web discussion forums using part-of-speech information and minimal features

Web discussion forums typically contain posts that fall into different categories such as question, solution, feedback, spam, etc. Automatic identification of these categories can aid information retrieval that is tailored for specific user requirements. Previously, a number of supervised methods have attempted to solve this problem; however, these depend on the availability of abundant trainin...

QUOTE: "Querying" Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging

One common trend in image tagging research is to focus on visually relevant tags, and this tends to ignore the personal and social aspect of tags, especially on photoblogging websites such as Flickr. Previous work has correctly identified that many of the tags that users provide on images are not visually relevant (i.e. representative of the salient content in the image) and they go on to treat...

Semi-supervised and Unsupervised Methods for Categorizing Posts in Web Discussion Forums

Semi-supervised and unsupervised methods for categorizing posts in web discussion forums Krish Perumal Master of Science Graduate Department of Computer Science University of Toronto 2016 Web discussion forums are used by millions of people worldwide to share information belonging to a variety of domains such as automotive vehicles, pets, sports, etc. They typically contain posts that fall into...

Semi-supervised Clustering: Learning with Limited User Feedback

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Semi-supervised Clustering: Incorporating User Feedback to Improve