Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

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An Automated Tool for Parsing of Social Media Feeds of the Suspect for the Ease of Investigation

Authors
M. Rekha2, K. Neela1, P. Reethu2, *, G. B. Rajeshwari2, U. S. Yadhu Krishna2, Sangeeth S. Kumar2
1Information Technology, Sri Sairam Engineering College, Chennai, India
2Department of Information Technology, R.M.K. Engineering College, Chennai, India
*Corresponding author. Email: 230374.it@rmkec.ac.in
Corresponding Author
P. Reethu
Available Online 19 April 2025.
DOI
10.2991/978-94-6463-700-7_35How to use a DOI?
Keywords
Natural language processing (NLP); Text interpretation; Entity recognition; multi-platform support; automated screenshot
Abstract

Social media platforms like Facebook, WhatsApp, Twitter, Instagram, and Telegram contain a lot of unstructured data, which include posts, comments, images, videos, text, likes, dislikes, Friend Lists, and so on. Parsing this data is crucial for understanding user behavior, sentiment analysis, and information dissemination. This research develops a pioneering social media monitoring system, ensuring secure access to suspect accounts across multiple platforms. Integrating natural language processing (NLP) techniques, Tokenization, Sentiment analysis, Entity recognition, Handling noisy data, abbreviations, and hashtags. Key features include multi-platform support, seamless login, critical data retrieval, automated screenshot capture, and document conversion (PDF/Word), making it available in Windows and Android versions.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Series
Advances in Intelligent Systems Research
Publication Date
19 April 2025
ISBN
978-94-6463-700-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-700-7_35How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - M. Rekha
AU  - K. Neela
AU  - P. Reethu
AU  - G. B. Rajeshwari
AU  - U. S. Yadhu Krishna
AU  - Sangeeth S. Kumar
PY  - 2025
DA  - 2025/04/19
TI  - An Automated Tool for Parsing of Social Media Feeds of the Suspect for the Ease of Investigation
BT  - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
PB  - Atlantis Press
SP  - 453
EP  - 461
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-700-7_35
DO  - 10.2991/978-94-6463-700-7_35
ID  - Rekha2025
ER  -