Text Summarization Using WordNet Graph Based Sentence Ranking

Text summarization refers to the task of generating a summary from a given document that tries to replicate the most significant information of the original document. A number of techniques are available in the literature regarding the same and sentence ranking is one of them. This paper proposes a novel method for text summarization using WordNet graph based sentence ranking. The proposed method utilizes the degree, betweenness, and closeness centrality measures. This paper also analyzes the current research work going on in text summarization and sentence ranking. Web of Science (WoS) is used as the data source for the same. The co-occurrence of all the keywords in the research papers pertaining to sentence ranking is also visualized.