Open AccessAnalyzing Call Data Through Live Calls Using Sphinx Tool
Author(s) -
Kartik Raju,
V N. S. Manaswini
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.31.18273
Subject(s) - computer science , phone , intension , call graph , purchasing , call management , database , sphinx , service (business) , software , world wide web , call control , operating system , telecommunications , art , philosophy , linguistics , operations management , economy , epistemology , economics , visual arts
For Improving the Business growth, the Business people try to know the customer's intension about their products. One of the best methods of collecting customer's feedback is telephone or mobile survey where customer service representatives(CSR) can interact with customers through phone calls and also record to analyze the customer's call data. The main issue of call data analysis through recorded files is a large amount of storage is required to store the audio files. This results increased costs, maintaining the hardware and software systems and manage a database system. In this paper we can directly convert the live calls into text files using speech to text (STT) algorithm and analyze these text files using Hadoop and MapReduce Framework for improving their future purchasing behavior.