capable of understanding messages written in regional arabic dialects
SAQR discovers and provides early warnings about publicly readable messages related to a certain person, a company, a service, an institution or even a goverment or a country, aiding in brand protection and PR management
SAQR can be deployed both in-premises, in a private cloud, or as a managed solution.
SAQR has been used by multiple governmental and private entities to understand the stance of the population about
• COVID vaccination and preventive measures
• Public opinion about new and existing bank services
• Perception of competitors with their strengths and weakness
• Goverment cceptable of new Goverment Policies
• Location and demographics of trending issues
SAQR features include
• Top-k insights, dialect identification, and propaganda user detection
• Stance detection applied to groups with similar opinions towards particular topics
• Classification and filtering of tweets by country, with a breakdown
• Real-time alerts about specific social media activity via phone, SMS or e-mail
While most products from our competitors focus on the English language, SAQR's engine has been developed by the Qatar Computing Research Institute and ADGS with regional Arabic dialects from the Middle East in mind.
• Farasa Arabic analytics
• Identification of colloquial dialects in arabic tweets, with filters and breakdown of results
• Warnings about Arabic tweets that can be considered offensive or agressive
• Flexible Arabic search queries
