ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	Harnessing Sentiments towards Man-Made Disasters A Sentiment and Opinion Mining Analysis
Authors	:	Niel Francis B. Casillano
Keywords	:	sentiment analysis, data mining, man-made disasters, machine learning, twitter, profiling
Issue Date	:	Jul-Aug 2018
Abstract	:	With the gargantuan amount of data being generated by various social media platforms, data scientists have come up with news ways to analyse and interpret data. These data are optimized by companies, institutions and establishments to create effective predictive models and analyse peoples’ opinion and sentiments on a particular topic. Sentiment Analysis is the use of Natural Language Processing (NLP), statistics, or machine learning methods to extract, identify or otherwise characterize the sentiment of a text unit sometimes referred to as opinion mining [1].
Page(s)	:	114-116
ISSN	:	2319-7323
Source	:	Vol. 7, No. 4