Supervised Learning for Suicidal Ideation Detection in Online User Content.
Shaoxiong JiCelina Ping YuSai-Fu FungShirui PanGuodong LongPublished in: Complex. (2018)
Keyphrases
- supervised learning
- user experience
- online learning
- detection algorithm
- internet users
- end users
- real time
- automatic detection
- social networking services
- semantic tags
- recommender systems
- user satisfaction
- user interests
- unsupervised learning
- object detection
- online services
- online video
- learning algorithm
- data sets
- targeted advertising
- multiple users
- user context
- false alarms
- helping users
- web personalization
- online communities
- relevant content
- user model
- machine learning
- learning tasks
- multimedia
- website
- false positives
- digital libraries
- user interface
- detection rate
- pairwise
- mobile devices
- training data
- reinforcement learning
- keywords
- training set
- content providers
- social networking sites
- multiple instance learning
- user interaction
- anomaly detection
- user queries
- user behavior
- web content