Research Topic · Peer-Reviewed

Social Web Search and Mining

Social web search and mining is a process which extracts information from social media platforms in order to analyze trends, identify opportunities, and make decisions. It involves the use of various analytical techniques such as text mining, sentiment analysis, and network analysis, to gain insights from large amou…

📚 0 peer-reviewed articles cited 🔖 ISSN 2768-0207 🗓 Reviewed July 2026

Overview

Social web search and mining is a process which extracts information from social media platforms in order to analyze trends, identify opportunities, and make decisions. It involves the use of various analytical techniques such as text mining, sentiment analysis, and network analysis, to gain insights from large amounts of data in an efficient manner. This process helps businesses and organizations to understand their customers better, and make decisions based on the insights gained from the analysis. It also helps to identify opportunities for products and services, and to measure the success of campaigns. Social web search and mining can be used for market research, customer segmentation, and other business purposes. It can also be used to detect fraud and abuse, and to analyze the performance of digital campaigns.

Research published in this journal

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Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.