System and method for determining bias concept/document in a set of documents

A computing system for determining document bias in a document set, the computing system comprising:

• a memory for storing a plurality of instructions;
• a processing unit in communication with the memory capable of executing the plurality of instructions;
• and
• an input interface in communication with the memory and the processing unit, the input interface being configured to receive a document set comprising a plurality of documents,
• wherein the processing unit is configured to:
• apply a Natural Language Processing (NLP) technique to the document set to identify one or more prevalent concepts in each document of the plurality of documents,
• categorize one or more concepts as a high prevalence concept and a low prevalence concept based on one or more parameters,
• identify one or more low prevalence concepts with negative sentiment, and
• compare the identified concepts with a plurality of keyword to determine at least one bias document/concept in the document set.

A non-transitory computer-readable medium having computer-readable instructions that when executed by a processor causes the processor to perform operations of:

• obtaining a document set comprising a plurality of documents;
• applying a Natural Language Processing (NLP) technique to the document set to identify one or more prevalent concepts in each document of the plurality of documents;
• categorizing one or more concepts as a high prevalence concept and a low prevalence concept based on one or more parameters;
• identifying one or more low prevalence concepts with negative sentiment;
• and
• comparing the identified concepts with a plurality of keyword to determine at least one bias document/concept.