The detection of novel information is an important research area which is becoming more critical as we become inundated with an overload of information. Novelty mining, or novelty detection, is the process of mining the novel yet relevant information of a given topic. This study describes recent techniques for detecting novel sentences and documents. In particular, the study focuses on intelligent novelty mining techniques which address the domain-specific problem of detecting novel information with specific regard to the user context. These techniques are able to leverage the use of novelty metrics, novelty decision and novelty feedback to improve the results of mining new information from text data.