Document-to-Sentence Level Technique for Novelty Detection

Novelty identification is accustomed to distinguishing novel data from an approaching stream of documents. In this study, we proposed a novel methodology for document-level novelty identification by utilizing document-to-sentence-level strategy. This work first splits a document into sentences, decides the novelty of every sentence, then registers the record-level novelty score in view of an altered limit. Exploratory results on an arrangement of document demonstrate that our methodology beats standard document-level novelty discovery as far as repetition exactness and excess review. This work applies on the document-level information from an arrangement of documents. It is valuable in identifying novel data in information with a high rate of new documents. It has been effectively incorporated in a true novelty identification framework in the zone of information retrieval.