Keyword and keyphrase based ranking of documents with NoSQL databases in business context

Abstract

The majority of data kept in organizations are in unstructured arrangement including text, sound, video etc. The scope of the keywords is in recovering required documents in a web look or to brief documents for ranking purposes. Keywords are the minutest segments which is used to represent a textual document and are frequently used to point to the most pertinent data contained in texts. Extracting keywords and key phrases is mainly used for identifying content of a document. In this research, we introduce a keyword and key phrase-based extraction approach using MongoDB which is a NoSQL database. By using this new method, documents are queried and ranked with the help of the keyword or keyphrases which is decided and specified by the user in a query. This result can be considered as a measure to decide the Key Performance Indicator of any business organization.