Implementation of Novel Test Rank Algorithm for Effective Text Summarization

Despite their busy schedule, people often wish to know the recent updates of what’s going on around with-in a short span of time. We are often amazed to know what could be the technology behind this technological innovation. Here comes into light Text Encapsulation. To accomplish the task of encapsulating the text into "Manually Tag Articles" or "Design an Automated System for phrase extraction". As the amount of unstructured text data in the digital world grows, automatic summarizing systems are needed that will be possible for people to quickly understand the source material. We require an extractive NLP model that is capable of doing the task on a wide scale. We use text ranking algorithm for text extraction where the number of common words measure's the similarity between two sentences. It gives the most informative document or summary which is also used to find the most relevant sentences in the text.