The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
topics. We will also introduce the system architecture of SNS crawler engine, describe the functional blocks, and show the implementation results. The proposed SNS crawler engine can collect text data from blog, Twitter, and web sites according to the keyword, period, term, and etc. registered in advance.
present a more informative result compared to conventional search engine. To valid our method, we developed the TCOND system (Twitter Conversation Detector) which offers an alternative, results to keyword search on twitter and Google. We have evaluated our method on collected social network corpus related to specific
which follows a keyword over multiple social media platforms (e.g. Twitter, Facebook), maintaining the aggregated data in a no-SQL database. Afterwards, in order to choose the most suitable system for our application, we will analyze the no_SQL database systems, define their architecture and data model, and depending on
geo-tagged information associated to tweets, events related to a particular place can be detected using clustering techniques and semantic interpretation of keywords.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.