Twitris provides a robust and scalable system for analysis of depression related Twitter data, news articles, location data, images, videos and knowledge sources (e.g., Wikipedia). Key technological capabilities of the Twitris platform such as location-based data analysis, social trend detection, topic-specific sentiment extraction and emotion analysis. Large-scale data analytics are used to study community level depression trends and factors associated with the depression.
Twitris provides a comprehensive summary of what is being discussed, where, and by whom. It provides the capability to explore data summaries by aggregating them under automatically extracted key topics over various dimensions, such as topics by sentiment and region or time. The ability to easily slice and dice the summarized data eases information overload and provides actionable information, like societal beliefs, or the lack of laws in a region, to decision makers.
Twitris provides the capability to identify and engage with key influencers in social media communities to spread critical information, verify information, and counter rumors aid in relief and rescue coordination. Built-in features filter the key actionable information. Need-to-rescue related messages can be redirect to rescue operations as used during the Jammu and Kashmir floods. Evacuated zone information extracted from data provided situational awareness.