Techniques and Tools for Information Extraction: Application to Social Media
Lossan Bondé, Severin Dembele · IntechOpen eBooks · 2025
This chapter presents a comprehensive and systematic review of the various techniques and tools used for information extraction (IE), focusing on social media. The aim of the review is triple: (1) identify the techniques and tools used for IE applied to social media, with a recommendation on when to use these techniques and tools; (2) determine what applications along with the social networks use IE from social media; and (3) identify the challenges associated with IE from social media. We combined Kitchenham and the PRISMA methodologies to conduct the systematic review. Guided by a review protocol and quality assessment, 58 papers were selected and analysed. This review highlights the potential of social media information extraction, emphasizing the central role of Machine Learning alongside emerging techniques like transformers. Applications span sentiment analysis, health, security, marketing, and misinformation detection. Twitter dominates research, though other platforms are studied. Key challenges include ethics, privacy, data scarcity, accuracy, and computational costs, necessitating refined methods and ethical focus.