Search Results - subject:"Text clustering"

A comparative analysis of emerging scientific themes in business analytics

Vanani, Iman Raeesi; Jalali, Seyed Mohammad Jafar - In: International journal of business information systems : … 29 (2018) 2, pp. 183-206

Persistent link: https://www.econbiz.de/10011980259

Topic analysis and forecasting for science, technology and innovation : methodology with a case study focusing on big data research

Zhang, Yi; Zhang, Guangquan; Chen, Hongshu; Porter, Alan L. - In: Technological forecasting & social change : an … 105 (2016), pp. 179-191

Persistent link: https://www.econbiz.de/10011609897

The impact of text product reviews on sales

Moon, Sangkil; Park, Yoonseo; Seog Kim, Yong - In: European Journal of Marketing 48 (2014) 11/12, pp. 2176-2197

products. Design/methodology/approach – Our text clustering-based procedure segments text reviews into multiple clusters in … J-distribution of numeric product ratings. This approach is novel in terms of combining text clustering with numeric …

Persistent link: https://www.econbiz.de/10014723940

Improved Text Clustering Using k-Mean Bayesian Vectoriser

Alghamdi, Hanan M.; Selamat, Ali; Karim, Nor Shahriza Abdul - In: Journal of Information & Knowledge Management (JIKM) 13 (2014) 03, pp. 1450026-1

aims to improve document representation models for text clustering. This approach consists of integrating the k …

Persistent link: https://www.econbiz.de/10011010957

"Term clumping" for technical intelligence : a case study on dye-sensitized solar cells

Zhang, Yi; Porter, Alan L.; Hu, Zhengyin; Guo, Ying; … - In: Technological forecasting & social change : an … 85 (2014), pp. 26-39

Persistent link: https://www.econbiz.de/10010406938

Improved text clustering using k-Mean Bayesian Vectoriser

Alghamdi, Hanan M.; Selamat, Ali; Nor Shahriza Abdul Karim - In: Journal of information & knowledge management : JIKM 13 (2014) 3, pp. 1-10

Persistent link: https://www.econbiz.de/10010438967

The impact of text product reviews on sales

Moon, Sangkil; Park, Yoonseo; Kim, Yong Seog - In: European journal of marketing : EJM 48 (2014) 11/12, pp. 2176-2197

Persistent link: https://www.econbiz.de/10010461789

GraphClust: A Method for Clustering Database of Graphs

Reforgiato, Diego; Gutierrez, Rodrigo; Shasha, Dennis - In: Journal of Information & Knowledge Management (JIKM) 07 (2008) 04, pp. 231-241

Any application that represents data as sets of graphs may benefit from the discovery of relationships among those graphs. To do this in an unsupervised fashion requires the ability to find graphs that are similar to one another. That is the purpose of GraphClust. The GraphClust algorithm...

Persistent link: https://www.econbiz.de/10005080857