Open AccessAn Efficient Algorithm for Text Mining in Business Intelligence using Machine Learning
Author(s) -
Deepak Mishra,
Prateep Upadhyay,
Sanjiv Sharma
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d2119.049620
Subject(s) - computer science , task (project management) , unstructured data , process (computing) , business intelligence , data mining , concept mining , artificial intelligence , text mining , machine learning , data science , big data , web mining , world wide web , engineering , systems engineering , web service , operating system
Data plays an important role in success of any organization, so organizations required more data to make decision for their planning to improvement. The data that are generating for any organization, in which 80 to 90 percent data belongs to unstructured data type.Text mining is the process that indicate retrieve appealing and unknown information from unstructured text. Social network sites also generate huge amounts of data,with the help of these data people’s behavior and thought easily determine but analysis of these data is a difficult task. This paper proposed an efficient approach for text mining using machine learning.