Socneto: A Scent of Current Network Overview

RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS 2021)(2021)

引用 0|浏览0
暂无评分
摘要
For more than a decade already, there has been an enormous growth of social networks and their audiences. As people post about their life and experiences, comment on other people's posts, and discuss all sorts of topics, they generate a tremendous amount of data that are stored in these networks. It is virtually impossible for a user to get a concise overview about any given topic. Socneto is an extensible framework allowing users to analyse data related to a chosen topic from selected social networks. A typical use case is studying sentiment about a public topic (e.g., traffic, medicine etc.) after an important press conference, tracking opinion evolution about a new product on the market, or comparing stock market values and general public sentiment peaks of a company. An emphasis on modularity and extensibility of Soeneto enables one to add/replace parts of the analytics pipeline in order to utilise it for a specific use case or to study and compare various analytical approaches.
更多
查看译文
关键词
Social networks, Sentiment analysis, Topic modelling
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要