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Journal Central

@article{ART001096702},
author={Woojin Paik},
title={Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2006},
volume={23},
number={2},
pages={167-183},
doi={10.3743/KOSIM.2006.23.2.167}

TY - JOUR
AU - Woojin Paik
TI - Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction
JO - Journal of the Korean Society for Information Management
PY - 2006
VL - 23
IS - 2
PB - 한국정보관리학회
SP - 167
EP - 183
SN - 1013-0799
AB - This paper describes a metadata extraction technique based on natural language processing (NLP) which extracts personalized information from email communications between financial analysts and their clients. Personalized means connecting users with content in a personally meaningful way to create, grow, and retain online relationships. Personalization often results in the creation of user profiles that store individuals preferences regarding goods or services offered by various e-commerce merchants. We developed an automatic metadata extraction system designed to process textual data such as emails, discussion group postings, or chat group transcriptions. The focus of this paper is the recognition of emotional contents such as mood and urgency, which are embedded in the business communications, as metadata.
KW - Information Extraction;Metadata;Emotional Content
DO - 10.3743/KOSIM.2006.23.2.167
ER -

Woojin Paik. (2006). Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction. Journal of the Korean Society for Information Management, 23(2), 167-183.

Woojin Paik. 2006, "Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction", Journal of the Korean Society for Information Management, vol.23, no.2 pp.167-183. Available from: doi:10.3743/KOSIM.2006.23.2.167

Woojin Paik "Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction" Journal of the Korean Society for Information Management 23.2 pp.167-183 (2006) : 167.

Woojin Paik. Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction. 2006; 23(2), 167-183. Available from: doi:10.3743/KOSIM.2006.23.2.167

Woojin Paik. "Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction" Journal of the Korean Society for Information Management 23, no.2 (2006) : 167-183.doi: 10.3743/KOSIM.2006.23.2.167

Woojin Paik. Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction. Journal of the Korean Society for Information Management, 23(2), 167-183. doi: 10.3743/KOSIM.2006.23.2.167

Woojin Paik. Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction. Journal of the Korean Society for Information Management. 2006; 23(2) 167-183. doi: 10.3743/KOSIM.2006.23.2.167

Woojin Paik. Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction. 2006; 23(2), 167-183. Available from: doi:10.3743/KOSIM.2006.23.2.167

Woojin Paik. "Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-basedMetadata Extraction" Journal of the Korean Society for Information Management 23, no.2 (2006) : 167-183.doi: 10.3743/KOSIM.2006.23.2.167