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Review of the Main ...
Review of the Main Approaches to Automated Email Answering
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- Sneiders, Eriks (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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(creator_code:org_t)
- 2016-03-02
- 2016
- Engelska.
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Ingår i: New Advances in Information Systems and Technologies. - Cham : Springer. - 9783319312316 - 9783319312323 ; , s. 135-144
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- There were 108.7 billion business emails sent daily in 2014, many of them to contact centers. A number of automated email answering techniques have been explored in order to ease the burden of manual handling of the messages. Most techniques stem from three text retrieval approaches – text categorization by machine learning, statistical text similarity calculation, matching of text patterns and templates. The paper discusses the previous research in automated email answering and compares the techniques.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- Automated email answering
- message answering
- email categorization
- email classification
- Computer and Systems Sciences
- data- och systemvetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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