Analyzing Political Opinions and Prediction of Voting Patterns in the US Election with Data Mining Approaches

1
Md. Sohel Ahammed
Md. Sohel Ahammed
2
Md. Nahid Newaz
Md. Nahid Newaz
3
Arunavo Dey
Arunavo Dey
1 Bangladesh University of Business and Technology (BUBT)

Send Message

To: Author

GJCST Volume 19 Issue C2

Article Fingerprint

ReserarchID

CSTSDEBHRWS

Analyzing Political Opinions and Prediction of Voting Patterns in the US Election with Data Mining Approaches Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Data is the precious resources. Data contains the useful patterns which provide the crucial information about the prediction of what is going to be happened in the next. In this paper, we aim to identify the political preferences and tendency of the US populations using classification and data mining techniques. To provide the usefulness of proposed model we analyze the electoral data sets in US election obtained from the official website which contains the information about 1984 United States Congressional voting records. This paper shows the classification techniques that can be used to predicting voting patterns in the US House of Representatives and shows the close correspondence between election results and extracted opinion. This paper also shows the political support of the voters and prediction the characteristics of the voter with their political tendency.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Md. Sohel Ahammed. 2019. \u201cAnalyzing Political Opinions and Prediction of Voting Patterns in the US Election with Data Mining Approaches\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 19 (GJCST Volume 19 Issue C2): .

Download Citation

Issue Cover
GJCST Volume 19 Issue C2
Pg. 37- 41
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-C Classification: H.2.8
Version of record

v1.2

Issue date

May 21, 2019

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 5171
Total Downloads: 1362
2026 Trends
Research Identity (RIN)
Related Research

Published Article

Data is the precious resources. Data contains the useful patterns which provide the crucial information about the prediction of what is going to be happened in the next. In this paper, we aim to identify the political preferences and tendency of the US populations using classification and data mining techniques. To provide the usefulness of proposed model we analyze the electoral data sets in US election obtained from the official website which contains the information about 1984 United States Congressional voting records. This paper shows the classification techniques that can be used to predicting voting patterns in the US House of Representatives and shows the close correspondence between election results and extracted opinion. This paper also shows the political support of the voters and prediction the characteristics of the voter with their political tendency.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Analyzing Political Opinions and Prediction of Voting Patterns in the US Election with Data Mining Approaches

Md. Sohel Ahammed
Md. Sohel Ahammed
Md. Nahid Newaz
Md. Nahid Newaz
Arunavo Dey
Arunavo Dey

Research Journals