Social media and online news outlets are now vital sources of information that are related to real-world events that people rely on to build or reflect on their opinions and decisions. This opinion-rich openly accessible information can help entrepreneurs and business owners to discover and comprehend consumers’ opinions about their products or services. Analyzing social media data allows the business owners to retrieve relevant and desired features that help to implement opportune decisions. The public social media data sets out a new opportunity for governments and law enforcement agencies to track and timely react to arising topics, stories, and misinformation.
All things considered, exploiting the data of these online platforms is very challenging due to their profusion and assorted sources. Besides, it is frequently hard to figure out which information sources are crucial to breaking down and analyze. Fortunately, the appearance of Artificial Intelligence (AI) and, in particular, Machine learning (ML) brought strategies and algorithms that are necessary to preprocess and analyze these immense and quickly evolving data oceans.
In our labs, we are building cutting-edge Artificial Intelligence tools for Textual and Sentiment Analysis. The AI-based textual analysis (AITA) tool permits revealing the covered up topics and showing the correlations between them in large social media data streams as well as how they evolve. The AI-based sentiment analysis (AISA) tool permits determining the sentiments of individuals or groups of people and how these sentiments may change.