Text mining: identification of similarity of text documents using hybrid similarity model

The volume of data that are accessible on the internet has increased dramatically. This growth will only increase exponentially in future as more exhaust devices connected to network. A part these consists documents from various sources. As digital sources increase, it becomes tough perform process identification relevant information which is most essentially needed for their further usage. goal this research present a hybrid similarity algorithm uses text summarization techniques identify papers similar terms both semantic and contextual similarity. Some methods aim quantify corpus’s polysemy quotient using deep learning with numerous layers prebuilt Natural Language Processing (NPL) models determine document In comparison other conventional algorithms, experimental results our model showed an accuracy 76.25%.