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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
In today's digital world we all know how sentiment analysis is important and their work of website building and creating any company profile in any social media and digital platform. It helps to tackle customer inquiries digitally and they are a way to determine whether to purchase any particular company product and maintain the review platform good to protect the face of the company. In this research paper, we discuss how Natural Language Processing (NLP) and Machine Learning (ML) work together to function the sentiment analysis. How NLP use certain tools and how they codify the human language and their way of transferring the data to meaningful conclusion and how MI uses python for sentiment analysis.
Keyword
sentiment analysis, human language, NLP, MI.
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