Machine Learning Algorithms in Big Data Analytics for Social Media Data Based Sentimental Analysis

Authors

  • Yogendra Narayan Prajapati AKGEC Ghaziabad Department name CSE AKGEC Ghaziabad U.P.
  • U. Sesadri Assistant Professor, School of Engineering, Department of CSE, Mallareddy University
  • Mahesh T. R. Associate Professor, Department of Computer Science and Engineering Jain (Deemed-to-be University), Bangalore, India https://orcid.org/0000-0002-5589-8992
  • Shreyanth S. Student, Data Science and Engineering, Birla Institute of Technology Pilani, Rajasthan, India
  • Ashish Oberoi Professor, Department of CSE RIMT University, Mandi, Gobindgarh, Punjab, India
  • Khel Prakash Jayant Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh Computer Science & Engineering, Dewan VS Institute of Engineering & Technology, Meerut

Keywords:

Social media, machine learning algorithm, big data, sentimental analysis, optimization, clustering

Abstract

Due to the extensive usage of the Internet, social media has grown to play a significant role in our daily lives. Twitter is one of the most popular social media platforms in use today. People express their ideas through tweets on a variety of topics, including politics, sports, the economy, and more. The massive dataset produced by the daily millions of tweets caught the interest of data scientists, who decided to concentrate on it for sentiment analysis. This research propose novel technique in machine learning algorithm in big data for social media based sentimental analysis. Here the input data has been collected as social media based sentimental data and processed for noise removal. Then this data has been clustered using Fuzzy-C means clustering and feature extracted using differential multi-layer whale optimization. The experimental analysis has been carried out in terms of accuracy, precision, recall, AUC and RMSE. The proposed technique attained accuracy of 95%, precision of 72%, recall of 62%, AUC of 44%, RMSE of 52%.

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References

Jindal, K., & Aron, R. (2021). A systematic study of sentiment analysis for social media data. Materials today: proceedings.

Behera, R. K., Jena, M., Rath, S. K., &Misra, S. (2021). Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data. Information Processing & Management, 58(1), 102435.

Hansen, K. B., &Borch, C. (2022). Alternative data and sentiment analysis: Prospecting non-standard data in machine learning-driven finance. Big Data & Society, 9(1), 20539517211070701.

Biradar, S. H., Gorabal, J. V., & Gupta, G. (2022). Machine learning tool for exploring sentiment analysis on twitter data. Materials Today: Proceedings, 56, 1927-1934.

Alharbi, M. S., & El-kenawy, E. S. M. (2021). Optimize machine learning programming algorithms for sentiment analysis in social media. International Journal of Computer Applications, 174(25), 38-43.

Kaur, H., Ahsaan, S. U., Alankar, B., & Chang, V. (2021). A proposed sentiment analysis deep learning algorithm for analyzing COVID-19 tweets. Information Systems Frontiers, 23(6), 1417-1429.

Babu, N. V., &Kanaga, E. (2022). Sentiment analysis in social media data for depression detection using artificial intelligence: A review. SN Computer Science, 3(1), 1-20.

Ahmed, H. M., Javed Awan, M., Khan, N. S., Yasin, A., & Faisal Shehzad, H. M. (2021). Sentiment analysis of online food reviews using big data analytics. Hafiz Muhammad Ahmed, Mazhar Javed Awan, Nabeel Sabir Khan, Awais Yasin, Hafiz Muhammad Faisal Shehzad (2021) Sentiment Analysis of Online Food Reviews using Big Data Analytics. Elementary Education Online, 20(2), 827-836.

Alsayat, A. (2022). Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model. Arabian Journal for Science and Engineering, 47(2), 2499-2511.

Mishra, R. K., Urolagin, S., Jothi, J. A., Neogi, A. S., & Nawaz, N. (2021). Deep learning-based sentiment analysis and topic modeling on tourism during Covid-19 pandemic. Frontiers in Computer Science, 3(10.3389).

Overall proposed architecture

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Published

19.12.2022

How to Cite

Yogendra Narayan Prajapati, U. Sesadri, T. R., M. ., Shreyanth S., Ashish Oberoi, & Khel Prakash Jayant. (2022). Machine Learning Algorithms in Big Data Analytics for Social Media Data Based Sentimental Analysis. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 264 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2397

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Section

Research Article