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1
A Comparative Study of Text Summarization on E-mail Data Using Unsupervised Learning Approaches
Thomas, Tijo. - : Technological University Dublin, 2020
In: Dissertations (2020)
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2
Health Information-seeking Behaviors and Preferences of a Diverse, Multilingual Urban Cohort.
In: Medical care, vol 57 Suppl 6 Suppl 2, iss 6 (2019)
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3
Health Information-seeking Behaviors and Preferences of a Diverse, Multilingual Urban Cohort.
In: Medical care, vol 57 Suppl 6 Suppl 2, iss 6 (2019)
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4
Detection of Conferences Attendies from Interactions Can We Know if Our Colleague Attend a Given Conference?
In: 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI) ; https://hal-utt.archives-ouvertes.fr/hal-02881475 ; 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI), Sep 2018, Palermo, Italy. pp.1-4, ⟨10.1109/RTSI.2018.8548462⟩ (2018)
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Detecção de spam em mensagens SMS utilizando aprendizagem de máquina ; Spam detection in sms messages using machine learning
Tibola, Rafael Henrique. - : Universidade Tecnológica Federal do Paraná, 2018. : Medianeira, 2018. : Brasil, 2018. : Ciência da Computação, 2018. : UTFPR, 2018
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6
CaRE: A refinement calculus for requirements engineering based on argumentation semantics
Elrakaiby, Yehia; Ferrari, Alessio; Mylopoulos, John. - : IEEE Computer Society, 2018
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7
The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
Schillinger, Dean; McNamara, Danielle; Crossley, Scott. - : eScholarship, University of California, 2017
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8
The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
Schillinger, Dean; McNamara, Danielle; Crossley, Scott. - : eScholarship, University of California, 2017
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9
Gesture Mimicry in Expression of Laughter
In: In: 2015 International Conference on Affective Computing and Intelligent Interaction (ACII). (pp. pp. 677-683). IEEE: Xi'an, China. (2015) (2015)
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10
La “cyberpolitesse”: Formes de l’adresse, ouverture et clôture dans les courriers électroniques
In: Quaderns de Filologia - Estudis Lingüístics; Vol. 12 (2007): PRAGMÁTICA, DISCURSO Y SOCIEDAD; 35-56 ; 2444-1449 ; 1135-416X (2014)
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11
Access, interest, and attitudes toward electronic communication for health care among patients in the medical safety net.
In: Journal of general internal medicine, vol 28, iss 7 (2013)
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12
Robust and Efficient Anti-Phishing Techniques
In: DTIC (2012)
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13
'Vor Outlook sind wir alle gleich': Egalisierungs- und Hierarchisierungstendenzen im Zuge der E-Mail-Nutzung
In: kommunikation @ gesellschaft ; 3 ; 15 (2012)
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14
Rezension: Joachim R. Höflich, Julian Gebhardt (Hrsg.), 2003, Vermittlungskulturen im Wandel. Brief, E-Mail, SMS
In: kommunikation @ gesellschaft ; 4 ; 3 ; Höflich, Joachim R. ; Gebhardt, Julian ; 2003 ; Vermittlungskulturen im Wandel: Brief - E-Mail - SMS ; Frankfurt am Main ; P. Lang ; 3-631-39456-X (2012)
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15
Authorship Attribution in the E-mail Domain: A Study of the Effect of Size of Author Corpus and Topic on Accuracy of Identification
In: DTIC (2011)
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16
E-mail Management of Japanese Hotels in Comparison with South Korean Hotels
In: UNLV Theses, Dissertations, Professional Papers, and Capstones (2011)
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17
Idiolekto požymiai elektroninių laiškų leksikoje. Manifestations of idiolect in the lexis of electronic mail
In: Kalbotyra, Vol 63, Iss 3, Pp 149-164 (2011) (2011)
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18
A corpus study of email writing in a business setting and its practical application in teaching English as a second language
In: CardinalScholar 1.0 (2010)
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19
A multi-perspective analysis of the request e-mail discourse of a team of education professionals in Hong Kong
Ho, Chung Kwong Victor. - : Australia : Macquarie University, 2009
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20
A Study of Topic and Topic Change in Conversational Threads
In: DTIC (2009)
Abstract: This thesis applies Latent Dirichlet Allocation (LDA) to the problem of topic and topic change in conversational threads using e-mail. We demonstrate that LDA can be used to successfully classify raw e-mail messages with threads to which they belong, and compare the results with those for processed threads, where quoted and reply text have been removed. Raw thread classification performs better, but processed threads show promise. We then present two new, unsupervised techniques for identifying topic change in e-mail. The first is a keyword clustering approach using LDA and DBSCAN to identify clusters of topics, and transition points between them. The second is a sliding window technique which assesses the current topic for every window, identifying transition points. The keyword clustering performs better than the sliding window approach. Both can be used as a baseline for future work. ; The original document contains color images.
Keyword: *CLUSTERING; *E-MAIL; *ELECTRONIC MAIL; *EMAIL; *LDA(LATENT DIRICHLET ALLOCATION); *SOCIAL COMMUNICATION; *THREADS(EMAIL); *TOPICS; CLASSIFICATION; Command; Computer Programming and Software; Control and Communications Systems; DBSCAN COMPUTER PROGRAM; DBSCAN PYTHON; INDEX TERMS; Information Science; KEYWORDS; Linguistics; SLIDING; STOPWORDS; THESES; WINDOWS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA508982
http://www.dtic.mil/docs/citations/ADA508982
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