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Finding Records in Social Media: A Natural Language Processing Fundamentals Exploration

Oladejo, Babatunde Kazeem; Hadžidedić, Sunčica; Ganić, Emir

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Authors

Babatunde Kazeem Oladejo

Emir Ganić



Contributors

Jasminka Hasic Telalovic
Editor

Muhamed Kantardzic
Editor

Abstract

Social media postings are now routinely used as proof of activities, events, or transactions in news media, academic institutions, governments, judicial courts, commerce, and various other organizations. The need to preserve social media content as records has drawn the interest of academic researchers, industry professionals, and policy makers. Despite the importance of this research area, selection of records from a pool of social media content remains an area of low research activity. This paper explores the use of Natural Language Processing methods to classify and select records from a pool of tweets (twitter social media content). We experiment with various characteristics of the data and NLP parameters with the goal of determining optimal parameters for training a supervised machine learning classifier. This paper can serve as an aid for understanding the fundamental elements of automating the selection of social media records.

Citation

Oladejo, B. K., Hadžidedić, S., & Ganić, E. (2021). Finding Records in Social Media: A Natural Language Processing Fundamentals Exploration. In J. Hasic Telalovic, & M. Kantardzic (Eds.), Mediterranean Forum - Data Science Conference (151-164). Springer, Cham. https://doi.org/10.1007/978-3-030-72805-2_11

Online Publication Date Apr 2, 2021
Publication Date 2021
Deposit Date Sep 7, 2021
Publicly Available Date Mar 28, 2024
Pages 151-164
Series Title Communications in Computer and Information Science
Series Number 1343
Book Title Mediterranean Forum - Data Science Conference
ISBN 9783030728045
DOI https://doi.org/10.1007/978-3-030-72805-2_11

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