PREDICTING THE BUSINESS IMPACT OF TWEET CONVERSATIONS

PREDICTING THE BUSINESS IMPACT OF TWEET CONVERSATIONS

A system and methods are provided for identifying conversations in tweet streams. A method includes grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent. The method further includes splitting the tweet...

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Bibliographische Detailangaben
Hauptverfasser: YEH DANNY L, TOPKARA MERCAN, LUNA DAVID C, MESTRE JORDI C, WEN ZHEN, PAGES XAVIER N, DOGANATA YURDAER N, LIN CHING-YUNG
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Beschreibung
Zusammenfassung:A system and methods are provided for identifying conversations in tweet streams. A method includes grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent. The method further includes splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages. The method also includes clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders. The method additionally includes merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists. Each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged.