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Call for Papers:Vol.11 Issue.4

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Title: :  Sentiment-Based Machine Learning Approach for Mapping Citizen Problems
PaperId: :  26556
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26556
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dr. Madhu B KVidya Vikas Institute of Engineering and Technology
Mahanthesha H RVidya Vikas Institute of Engineering and Technology
Gowtham J VVidya Vikas Institute of Engineering and Technology
Mohith B NVidya Vikas Institute of Engineering and Technology
Nadir DurraniVidya Vikas Institute of Engineering and Technology

Abstract

Computer science and Engineering
Sentiment Analysis, Citizen Problem Detection, Machine Learning, Natural Language Processing, Social Media Analytics.
In today's digital era, social media platforms have become a key medium for citizens to express concerns and grievances. This project proposes a real-time system for detecting and classifying citizen problems from social media posts using a sentiment-based machine learning approach. Due to the massive volume and dynamic nature of user-generated content, manual analysis is impractical. To address this, we leverage machine learning and natural language processing (NLP) techniques to filter spam, detect relevant problems, and classify issues in real time. The system follows an end-to-end pipeline involving data extraction, preprocessing, problem detection, sentiment analysis, and location mapping. Social media APIs and web scraping methods gather real-time data, which is refined through text cleaning, tokenization, and stemming. Supervised learning models detect and classify problems, while NLP techniques like named entity recognition and geoparsing extract location information to map citizen concerns geographically. The proposed system demonstrates the potential to automate public grievance monitoring and provide actionable insights. By combining sentiment analysis, machine learning, and geolocation, it supports faster response to emerging issues, improves public services, and enhances citizen engagement through data-driven decision-making.

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IJARIIE Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, and Nadir Durrani. "Sentiment-Based Machine Learning Approach for Mapping Citizen Problems" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 1549-1553
MLA Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, and Nadir Durrani. "Sentiment-Based Machine Learning Approach for Mapping Citizen Problems." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 1549-1553.
APA Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, & Nadir Durrani. (2025). Sentiment-Based Machine Learning Approach for Mapping Citizen Problems. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 1549-1553.
Chicago Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, and Nadir Durrani. "Sentiment-Based Machine Learning Approach for Mapping Citizen Problems." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 1549-1553.
Oxford Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, and Nadir Durrani. 'Sentiment-Based Machine Learning Approach for Mapping Citizen Problems', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 1549-1553. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Sentiment_Based_Machine_Learning_Approach_for__Mapping_Citizen_Problems_ijariie26556.pdf (Accessed : ).
Harvard Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, and Nadir Durrani. (2025) 'Sentiment-Based Machine Learning Approach for Mapping Citizen Problems', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 1549-1553IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Sentiment_Based_Machine_Learning_Approach_for__Mapping_Citizen_Problems_ijariie26556.pdf (Accessed : )
IEEE Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, and Nadir Durrani, "Sentiment-Based Machine Learning Approach for Mapping Citizen Problems," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 1549-1553, May-Jun 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/Sentiment_Based_Machine_Learning_Approach_for__Mapping_Citizen_Problems_ijariie26556.pdf [Accessed : ].
Turabian Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, and Nadir Durrani. "Sentiment-Based Machine Learning Approach for Mapping Citizen Problems." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Dr. Madhu B K, Mahanthesha H R, Gowtham J V, Mohith B N, and Nadir Durrani. Sentiment-Based Machine Learning Approach for Mapping Citizen Problems. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 1549-1553. Available from: http://ijariie.com/AdminUploadPdf/Sentiment_Based_Machine_Learning_Approach_for__Mapping_Citizen_Problems_ijariie26556.pdf
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