Context based Meaning Extraction for HCI using WSD algorithm: A review

Context based Meaning Extraction is a process of finding the correct sense of a word from the sentence. Word Sense Disambiguation (WSD) algorithm is used to remove ambiguity of words and correct domain of a word to be displayed using Word Net Domain. In this paper, conventional methods of WSD such as dictionary and knowledge base, supervised, semi-supervised and unsupervised methods are compared. The combination of supervised and unsupervised methods is used in this paper to train the system about picking the correct domain of word and unsupervised learning to auto update the domain information in database. It is useful for Human Computer Interaction (HCI) as a self learning process or language which provides people with the ability to explore themselves. The WSD algorithm is used to find out efficient and accurate meaningful sense of a word based on domain information.