Implicit Life Event Discovery From Call Transcripts Using Temporal Input Transformation Network

Autor: Nima Ebadi, Brandon Lwowski, Mehrad Jaloli, Paul Rad

Publikováno v: IEEE Access, Vol 7, Pp 172178-172189 (2019)

Customer-agent conversations (i.e. call transcripts) are invaluable source for companies as they convey direct information from their customers implicit and explicit behaviour. Identifying customer-related events is an important task in customer serv

Externí odkaz: https://doaj.org/article/bef39f3ebc3b49d59855916e8a22d34a

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Implicit Life Event Discovery From Call Transcripts Using Temporal Input Transformation Network

Autor: Mehrad Jaloli, Nima Ebadi, Paul Rad, Brandon Lwowski

Publikováno v: IEEE Access, Vol 7, Pp 172178-172189 (2019)

Customer-agent conversations (i.e. call transcripts) are invaluable source for companies as they convey direct information from their customers implicit and explicit behaviour. Identifying customer-related events is an important task in customer serv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2f88dea5d478de70c6c16d7ad1117dd
https://ieeexplore.ieee.org/document/8908668/

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Tweet-SCAN: an event discovery technique for geo-located tweets

Autor: Jesús Cerquides, Joan Capdevila, Jordi Torres, Jordi Nin

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Digital.CSIC. Repositorio Institucional del CSIC

Twitter has become one of the most popular Location-based Social Networks (LBSNs) that bridges physical and virtual worlds. Tweets, 140-character-long messages, are aimed to give answer to the What¿s happening? question. Occurrences and events in th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a48e2dce084be072ea974d05f18d7fe0
http://hdl.handle.net/2117/106626