Publicação

A text mining based supervised learning algorithm for classification of manufacturing suppliers

Ver documento

Detalhes bibliográficos
Resumo:With the expeditious growth of unstructured massive data on the World Wide Web (WWW), more advanced tools, techniques, methods, and approaches for information organization and retrieval are desired. Text mining is one such approach to achieve the above mentioned demand. One of the main text mining applications is how to classify data presented by different industries into groups. In this paper, the classification of data into various groups based on the choice of the users at any given point of time is proposed. Here, a support vector machine (SVM) based classification algorithm is established to classify the text data into two broad categories of Manufacturing and Non-Manufacturing suppliers. Later, the performance of the proposed classifier was tested experimentally using most commonly used accuracy measures such as precision, recall, and F-measure. Results proved the efficiency of the proposed approach for classification of the texts.
Autores principais:Manupati, V. K.
Outros Autores:Akhtar, M. D.; Varela, M.L.R.; Putnik, Goran D.; Trojanowska, J.; Machado, José
Assunto:Classification algorithm Support vector machine Text mining
Ano:2018
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho

Registos relacionados

Registos relacionados