Data Mining and Revealing Hidden Sentiment in Tweets Using Spark

Ameen Abdullah Qaid Aqlan

doi:doi:10.11648/j.ijdst.20220801.13

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Data Mining and Revealing Hidden Sentiment in Tweets Using Spark

Ameen Abdullah Qaid Aqlan

Published in International Journal on Data Science and Technology (Volume 8, Issue 1)

Received: 10 December 2021 Accepted: 22 January 2022 Published: 29 March 2022

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Abstract

Data science is important and scientific value in our lives because it is multi-fields, it's the science that uses scientific methods, processes, algorithms, and systems for the purpose of extracting knowledge and ideas from data whether this data is organized or not. Data science is called 21st century oil to highlight its importance and scientific value in our lives. We paid great attention in this research paper, where we achieved three main steps in the field of data analysis, collecting data from different sources in the Internet and then storing the data within the system, the second step cleaning the data in order to obtain structured data and then applying the algorithms that are responsible for classifying the data. In pursuit of development, we have collected more than 1600000 tweets about the educational process and the possibility of future online education. We give great attention to this field of Sentiment Analysis (SA) and the use of modern Spark technology, which has achieved great success since its emergence. We have succeeded in using Spark in getting a good result, handling data quickly and accurately, which encouraged us to test it on two algorithms of Machine Learning, Support Vector Machine (SVM) & Maximum Entropy (Max Ent).

Published in	International Journal on Data Science and Technology (Volume 8, Issue 1)
DOI	10.11648/j.ijdst.20220801.13
Page(s)	14-21
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Sentiment Analysis, Maximum Entropy, SVM, Machine Learning (ML), Spark

References

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APA Style

Ameen Abdullah Qaid Aqlan. (2022). Data Mining and Revealing Hidden Sentiment in Tweets Using Spark. International Journal on Data Science and Technology, 8(1), 14-21. https://doi.org/10.11648/j.ijdst.20220801.13

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ACS Style

Ameen Abdullah Qaid Aqlan. Data Mining and Revealing Hidden Sentiment in Tweets Using Spark. Int. J. Data Sci. Technol. 2022, 8(1), 14-21. doi: 10.11648/j.ijdst.20220801.13

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AMA Style

Ameen Abdullah Qaid Aqlan. Data Mining and Revealing Hidden Sentiment in Tweets Using Spark. Int J Data Sci Technol. 2022;8(1):14-21. doi: 10.11648/j.ijdst.20220801.13

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@article{10.11648/j.ijdst.20220801.13,
  author = {Ameen Abdullah Qaid Aqlan},
  title = {Data Mining and Revealing Hidden Sentiment in Tweets Using Spark},
  journal = {International Journal on Data Science and Technology},
  volume = {8},
  number = {1},
  pages = {14-21},
  doi = {10.11648/j.ijdst.20220801.13},
  url = {https://doi.org/10.11648/j.ijdst.20220801.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20220801.13},
  abstract = {Data science is important and scientific value in our lives because it is multi-fields, it's the science that uses scientific methods, processes, algorithms, and systems for the purpose of extracting knowledge and ideas from data whether this data is organized or not. Data science is called 21st century oil to highlight its importance and scientific value in our lives. We paid great attention in this research paper, where we achieved three main steps in the field of data analysis, collecting data from different sources in the Internet and then storing the data within the system, the second step cleaning the data in order to obtain structured data and then applying the algorithms that are responsible for classifying the data. In pursuit of development, we have collected more than 1600000 tweets about the educational process and the possibility of future online education. We give great attention to this field of Sentiment Analysis (SA) and the use of modern Spark technology, which has achieved great success since its emergence. We have succeeded in using Spark in getting a good result, handling data quickly and accurately, which encouraged us to test it on two algorithms of Machine Learning, Support Vector Machine (SVM) & Maximum Entropy (Max Ent).},
 year = {2022}
}

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TY  - JOUR
T1  - Data Mining and Revealing Hidden Sentiment in Tweets Using Spark
AU  - Ameen Abdullah Qaid Aqlan
Y1  - 2022/03/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ijdst.20220801.13
DO  - 10.11648/j.ijdst.20220801.13
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 14
EP  - 21
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20220801.13
AB  - Data science is important and scientific value in our lives because it is multi-fields, it's the science that uses scientific methods, processes, algorithms, and systems for the purpose of extracting knowledge and ideas from data whether this data is organized or not. Data science is called 21st century oil to highlight its importance and scientific value in our lives. We paid great attention in this research paper, where we achieved three main steps in the field of data analysis, collecting data from different sources in the Internet and then storing the data within the system, the second step cleaning the data in order to obtain structured data and then applying the algorithms that are responsible for classifying the data. In pursuit of development, we have collected more than 1600000 tweets about the educational process and the possibility of future online education. We give great attention to this field of Sentiment Analysis (SA) and the use of modern Spark technology, which has achieved great success since its emergence. We have succeeded in using Spark in getting a good result, handling data quickly and accurately, which encouraged us to test it on two algorithms of Machine Learning, Support Vector Machine (SVM) & Maximum Entropy (Max Ent).
VL  - 8
IS  - 1
ER  -

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Author Information

Ameen Abdullah Qaid Aqlan

Department of Computer Science, Kakatiya University, Warangal, India

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Plain Text BibTeX RIS

APA Style

Ameen Abdullah Qaid Aqlan. (2022). Data Mining and Revealing Hidden Sentiment in Tweets Using Spark. International Journal on Data Science and Technology, 8(1), 14-21. https://doi.org/10.11648/j.ijdst.20220801.13

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ACS Style

Ameen Abdullah Qaid Aqlan. Data Mining and Revealing Hidden Sentiment in Tweets Using Spark. Int. J. Data Sci. Technol. 2022, 8(1), 14-21. doi: 10.11648/j.ijdst.20220801.13

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AMA Style

Ameen Abdullah Qaid Aqlan. Data Mining and Revealing Hidden Sentiment in Tweets Using Spark. Int J Data Sci Technol. 2022;8(1):14-21. doi: 10.11648/j.ijdst.20220801.13

Copy | Download

@article{10.11648/j.ijdst.20220801.13,
  author = {Ameen Abdullah Qaid Aqlan},
  title = {Data Mining and Revealing Hidden Sentiment in Tweets Using Spark},
  journal = {International Journal on Data Science and Technology},
  volume = {8},
  number = {1},
  pages = {14-21},
  doi = {10.11648/j.ijdst.20220801.13},
  url = {https://doi.org/10.11648/j.ijdst.20220801.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdst.20220801.13},
  abstract = {Data science is important and scientific value in our lives because it is multi-fields, it's the science that uses scientific methods, processes, algorithms, and systems for the purpose of extracting knowledge and ideas from data whether this data is organized or not. Data science is called 21st century oil to highlight its importance and scientific value in our lives. We paid great attention in this research paper, where we achieved three main steps in the field of data analysis, collecting data from different sources in the Internet and then storing the data within the system, the second step cleaning the data in order to obtain structured data and then applying the algorithms that are responsible for classifying the data. In pursuit of development, we have collected more than 1600000 tweets about the educational process and the possibility of future online education. We give great attention to this field of Sentiment Analysis (SA) and the use of modern Spark technology, which has achieved great success since its emergence. We have succeeded in using Spark in getting a good result, handling data quickly and accurately, which encouraged us to test it on two algorithms of Machine Learning, Support Vector Machine (SVM) & Maximum Entropy (Max Ent).},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Data Mining and Revealing Hidden Sentiment in Tweets Using Spark
AU  - Ameen Abdullah Qaid Aqlan
Y1  - 2022/03/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ijdst.20220801.13
DO  - 10.11648/j.ijdst.20220801.13
T2  - International Journal on Data Science and Technology
JF  - International Journal on Data Science and Technology
JO  - International Journal on Data Science and Technology
SP  - 14
EP  - 21
PB  - Science Publishing Group
SN  - 2472-2235
UR  - https://doi.org/10.11648/j.ijdst.20220801.13
AB  - Data science is important and scientific value in our lives because it is multi-fields, it's the science that uses scientific methods, processes, algorithms, and systems for the purpose of extracting knowledge and ideas from data whether this data is organized or not. Data science is called 21st century oil to highlight its importance and scientific value in our lives. We paid great attention in this research paper, where we achieved three main steps in the field of data analysis, collecting data from different sources in the Internet and then storing the data within the system, the second step cleaning the data in order to obtain structured data and then applying the algorithms that are responsible for classifying the data. In pursuit of development, we have collected more than 1600000 tweets about the educational process and the possibility of future online education. We give great attention to this field of Sentiment Analysis (SA) and the use of modern Spark technology, which has achieved great success since its emergence. We have succeeded in using Spark in getting a good result, handling data quickly and accurately, which encouraged us to test it on two algorithms of Machine Learning, Support Vector Machine (SVM) & Maximum Entropy (Max Ent).
VL  - 8
IS  - 1
ER  -

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