Abstract
In this work in progress research paper we describe a concept of a computerized system which can help in addressing the issue of bad publicity on blogs posted on platforms such as tumblr or wordpress, twitter, facebook and/or other public internet forums such as CNET. There are three parts to solve the problem. First, identifying and searching the web for such comments and creating a bag of words from every such comment. Second, creating an index of words occurring on process models and assign them weightage in different process models based on their frequency of occurrence. Third, to create an association between the bag of words derived from the comment and the process models using the index of words. Once the comment is associated to process model it can be directed to the process model owner for appropriate action. Thus knowledge inside the process models is used for directing the complaints towards relevant executives. This invention can also help in other similar uses such as software maintenance, automated process support, help desk etc where requests in natural language can be automatically assigned to relevant person based on their job description or process description or process map.
Recommended Citation
Kumar, Manish; Dubey, Atul; Sinha, Manu; and Malviya, Rashi, "Concept of a system for Addressing Bad Publicity in Social Media Using Knowledge in Business Process Models" (2012). AMCIS 2012 Proceedings. 64.
https://aisel.aisnet.org/amcis2012/proceedings/Posters/64
Concept of a system for Addressing Bad Publicity in Social Media Using Knowledge in Business Process Models
In this work in progress research paper we describe a concept of a computerized system which can help in addressing the issue of bad publicity on blogs posted on platforms such as tumblr or wordpress, twitter, facebook and/or other public internet forums such as CNET. There are three parts to solve the problem. First, identifying and searching the web for such comments and creating a bag of words from every such comment. Second, creating an index of words occurring on process models and assign them weightage in different process models based on their frequency of occurrence. Third, to create an association between the bag of words derived from the comment and the process models using the index of words. Once the comment is associated to process model it can be directed to the process model owner for appropriate action. Thus knowledge inside the process models is used for directing the complaints towards relevant executives. This invention can also help in other similar uses such as software maintenance, automated process support, help desk etc where requests in natural language can be automatically assigned to relevant person based on their job description or process description or process map.