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.

Faculty Supervisor:

Ahmed Lakhssassi


Aravind Kilaru;Youcef Fouzar


Gnowit Inc


Engineering - other


Information and cultural industries


Université du Québec en Outaouais



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