Open Access4018 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: J95700881019/2019©BEIESP DOI: 10.35940/ijitee.J9570.0981119 Journal Website: www.ijitee.org Risk Monitoring and Quantitative Results of Various Attributes of Machine Learning Algorithms with a Time Series Data.
Author(s) -
Rakhi Gupta*,
Nashrah,
Sarang Joshi,
Suhas H. Patil
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9570.0981119
Subject(s) - computer science , table (database) , sentiment analysis , anger , information retrieval , data science , artificial intelligence , psychology , data mining , psychiatry
The aim of this research is to do risk modelling after analysis of twitter posts based on certain sentiment analysis. In this research we analyze posts of several users or a particular user to check whether they can be cause of concern to the society or not. Every sentiment like happy, sad, anger and other emotions are going to provide scaling of severity in the conclusion of final table on which machine learning algorithm is applied. The data which is put under the machine learning algorithms are been monitored over a period of time and it is related to a particular topic in an area