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Vie present the basic principles of an automated system for attitude detection in short messages and other texts. The core of the system is a 'semantic parser' that has three main components: the detector of attitude-pointing words, the syntax parsing for determining to whom the attitude-loaded words relate, and the determination of the relationship between the message writer, the message addressee,...
Geospatial analysis of location-enabled social media networks can be utilized to generate vital insights in areas where situational awareness is important, such as disaster prevention and crisis response. However, several recent approaches struggle under the challenge that only a small fraction of the data is actually provided with precise geo-tags or even GPS information of their origin. In this...
Twitter® is a microblogging service usually used as an instant communication platform. The capacity to provide information in real time has stimulated many companies to use this service to understand their consumers. In this direction, TV stations have adopted Twitter for shortening the distance between them and their viewers, and use such information as a feedback mechanism for their shows. The sentiment...
Sentiment mining aims at extracting features on which users express their opinions in order to determine the user's sentiment towards the query object. We mine over 70 million Twitter microblogs to gain knowledge regarding tourist sentiment on the travel resort destination Cancun in the Yucatan Peninsula of Mexico. We measure sentiment using a binary choice keyword algorithm and a multi-knowledge...
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