Relevancy assessment of tweets using supervised learning techniques: Mining emergency related tweets for automated relevancy classification.
Matthias HabdankNikolai RodehutskorsRainer KochPublished in: ICT-DM (2017)
Keyphrases
- supervised learning
- social media
- automated classification
- class labels
- machine learning
- supervised machine learning
- accurate classification
- supervised classification
- unsupervised learning
- pattern recognition
- training set
- short text
- training samples
- active learning
- data mining
- image classification
- semi supervised learning
- text mining
- training data
- classification accuracy
- management system
- learning algorithm
- learning tasks
- web mining
- named entities
- labeled data
- mining algorithm
- micro blogging
- decision making
- decision trees
- feature extraction
- twitter users
- user generated content
- text classification
- statistical learning
- news articles
- unlabeled data
- feature vectors
- classification method
- classification algorithm
- twitter posts
- support vector
- emerging patterns
- support vector machine
- sequential patterns