Multi-Document, Aspect-Based Sentiment Analysis of Political News Articles
The main objective of the project is to upgrade the existing system at Gnowit to create a complex self learning automated decision support system. The system(crawlers) will automatically collect all the data related to any company, political system or a specific entity from the articles, blogs and reviews and create a more actionable report. The system will also check the credibility of the news and perform the controversy analysis. The mined information and knowledge will be saved and used to train a engine which could predict the future events of an entity or object. The system also tries to quantify the sentiment between multiple aspects.
Voir la description complète du projetAhmed Lakhssassi
Gnowit Inc.
Computer science
Information and cultural industries; Professional, scientific and technical services
Université du Québec en Outaouais
Accelerate