Manuscript Number : IJSRSET2183301
Banking Transaction Metaphors Using Text Classification : A Study
Authors(2) :-Pallavi D. Bankar, Prof. Anil V. Deorankar
This study analyzes the significant determinants of a bank choice by a customer in the banking industry. Given the significance of customers as the most important resources of associations, customer maintenance is by all accounts a fundamental, essential necessity for any association. Banks are no special case for this standard. The competitive environment within which electronic banking administrations are given by various banks increases the need of customer maintenance. Text classification is a significant errand in natural language processing with wide applications. Conventional text classification strategies manually separate the highlights which are subsequently taken care of into the classifier for training. Conventional text portrayal strategies have been effectively applied to independent records of medium size. Be that as it may, information in short texts is regularly insufficient, due, for instance, to the utilization of memory helpers, which makes them difficult to classify. Subsequently, the particularities of explicit domains should be abused.
Pallavi D. Bankar
Banking, personal finance management, text classification, natural language processing.
Publication Details
Published in :
Volume 8 | Issue 3 | May-June 2021 Article Preview
Computer Science and Engineering, Government College of Engineering, Amravati, Maharashtra, India
Prof. Anil V. Deorankar
Computer Science and Engineering, Government College of Engineering, Amravati, Maharashtra, India
Date of Publication :
2021-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
544-548
Manuscript Number :
IJSRSET2183301
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET2183301