Volume 6, Issue 7 (July 2019), Pages: 112-116

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 Original Research Paper

 Title: Human aggressiveness and reactions towards uncertain decisions

 Author(s): Farhan Bashir ¹, Noman Ashraf ², Ayyaz Yaqoob ¹, Abid Rafiq ¹, Raza Ul Mustafa ^3, *

 Affiliation(s):

 ¹Department of Computer Science and Information Technology, University of Sargodha, Sargodha, Pakistan
 ²Department of Computer Science, University of Lahore, Pakpattan Campus, Pakpattan, Pakistan
 ³Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-1436-9127

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.07.015

 Abstract:

Big data is a term that defines data sets are so large or complex that traditional data processing applications are inadequate. Data comes with different formats such as Multilanguage, structured, unstructured and emails. Challenges dealing with a huge amount of data includes analysis, search, sharing, transfer, and visualization. Not all the data collected contains useful information, so there's a need to refine this data in order to filter out the useful information. Tweets posted on Twitter are expressed as opinions. These opinions can be used for different purposes such as to take public views on uncertain decisions. These decisions have a direct impact on the user’s life such as violations and aggressiveness are common causes. For this purpose, we have collected opinions on some popular decision taken in the past decade from Twitter. We have divided the tweet text into two classes; Anger (negative) and positive. We have proposed a prediction model to predict public opinions towards such decisions. We used Support Vector Machine (SVM), Naïve Bayes (NB) and Logistic Regression (LR) classifier for a text classification task. Furthermore, we have also compared SVM results with NB, LR. The research will help us to predict early behaviors and reactions of people before the big consequences of such decisions. Moreover, the results highlight the feasibility of using social media to predict public opinions. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Twitter, Social networks, Machine learning, Text analysis, Opinion mining

 Article History: Received 1 January 2019, Received in revised form 6 May 2019, Accepted 29 May 2019

 Acknowledgement:

No Acknowledgement.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Bashir F, Ashraf N, and Yaqoob A et al. (2019). Human aggressiveness and reactions towards uncertain decisions. International Journal of Advanced and Applied Sciences, 6(7): 112-116

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 Figures

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 Tables

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