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A Comprehensive Study of Text Analytics


Affiliations
1 Department of Computer Science and Engineering, JSSATE, Bengaluru-60, India
2 Department of Information Science and Engineering, JSS Academy of Technical Education, Bengaluru-60, India
     

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The interactions between human languages and computers is termed as Natural Language Processing. These interactions are between the fields of computer science, artificial intelligence, and computational linguistics. As it involves human languages, so the term NLP is referred. NLP requires the expertise in statistics, linguistics, expert systems etc. Basically it aims at text analysis by using automation methods. On the other hand, customer relationship management is an integral part of any organization where in it is structured to fetch all the relevant data pertaining to its customer's viz., customer profile, customer feedback. Transactions on all customer activities etc. The paper aims at the comprehensive study of text analytics using natural language processing. The natural language processing tools can be utilized to identify customer pain points to improve customer relationship management of any organization, an experiment is conducted to use statistical and graphical visualization to arrive at a conclusion by using various techniques of text mining using open source tool.


Keywords

N-Gram, Enterprise Resource Planning, Unstructured, Uncategorized Data, Reduction Method, Sparsity Matrix.
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  • A Comprehensive Study of Text Analytics

Abstract Views: 385  |  PDF Views: 6

Authors

Basavaraj N. Hiremath
Department of Computer Science and Engineering, JSSATE, Bengaluru-60, India
Malini M. Patil
Department of Information Science and Engineering, JSS Academy of Technical Education, Bengaluru-60, India

Abstract


The interactions between human languages and computers is termed as Natural Language Processing. These interactions are between the fields of computer science, artificial intelligence, and computational linguistics. As it involves human languages, so the term NLP is referred. NLP requires the expertise in statistics, linguistics, expert systems etc. Basically it aims at text analysis by using automation methods. On the other hand, customer relationship management is an integral part of any organization where in it is structured to fetch all the relevant data pertaining to its customer's viz., customer profile, customer feedback. Transactions on all customer activities etc. The paper aims at the comprehensive study of text analytics using natural language processing. The natural language processing tools can be utilized to identify customer pain points to improve customer relationship management of any organization, an experiment is conducted to use statistical and graphical visualization to arrive at a conclusion by using various techniques of text mining using open source tool.


Keywords


N-Gram, Enterprise Resource Planning, Unstructured, Uncategorized Data, Reduction Method, Sparsity Matrix.