Publication at Faculty of Mathematics and Physics |
2021
Abstract
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 Socneto 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.