An Efficient Algorithm for Text Mining in Business Intelligence using Machine Learning
Devendra Kumar Mishra1, Arvind Kumar Upadhyay2, Sanjiv Sharma3
1Devendra Kumar Mishra*, Amity School of Engineering and Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior, MP.
2Prof. Dr. Arvind Kumar Upadhyay, Amity School of Engineering and Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior, MP.
3Dr. Sanjiv Sharma, Madhav Institute of Technology and Science, Gwalior, MP.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 772-774 | Volume-9 Issue-6, April 2020. | Retrieval Number: D2119029420/2020©BEIESP | DOI: 10.35940/ijitee.D2119.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: DData 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.
Keywords: Business Intelligence, Machine Learning, Unstructured Data .
Scope of the Article: Machine Learning