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Simple Search
Hits 1 – 9 of 9
1
Automatic Misogyny Detection in Social Media: a Survey
Cardiff, John
;
Shushkevich, Elena
In: Conference Papers (2019)
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2
Disambiguating Company Names in Microblog Text Using Clustering for Online Reputation Management
Perez-Tellez, Fernando
;
Cardiff, John
;
Rosso, Paolo
...
In: Articles (2015)
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3
TWIN: Personality-based Intelligent Recommender System
Roshchina, Alexandra
;
Cardiff, John
;
Rosso, Paolo
. - : IOS Press, 2015
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4
Identifying Subjective Statements in News Titles Using a Personal Sense Annotation Framework
Panicheva, Polina
;
Cardiff, John
;
Rosso, Paolo
In: Articles (2013)
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5
Identifying subjective statements in news titles using a personal sense annotation framework
Rosso, Paolo
;
Cardiff, John
;
PANICHEVA, POLINA
. - : Association for Information Science and Technology (ASIS&T), 2013
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6
Evaluating the Similarity Estimator Component of the TWIN Personality-based Recommender System
Roshchina, Alexandra
;
Cardiff, John
;
Rosso, Paolo
In: Conference Papers (2012)
Abstract:
With the constant increase in the amount of information available in online communities, the task of building an appropriate Recommender System to support the user in her decision making process is becoming more and more challenging. In addition to the classical collaborative filtering and content based approaches, taking into account ratings, preferences and demographic characteristics of the users, a new type of Recommender System, based on personality parameters, has been emerging recently. In this paper we describe the TWIN (Tell Me What I Need) Personality Based Recommender System, and report on our experiments and experiences of utilizing techniques which allow the extraction of the personality type from text (following the Big Five model popular in the psychological research). We estimate the possibility of constructing the personality-based Recommender System that does not require users to fill in personality questionnaires. We are applying the proposed system in the online travelling domain to perform TripAdvisor hotels recommendation by analysing the text of user generated reviews, which are freely accessible from the community website.
Keyword:
Communication Technology and New Media
;
Linguistics
;
personality from the text
;
recommender system
;
web application
URL:
https://arrow.tudublin.ie/smrgcon/1
https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1000&context=smrgcon
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7
User Profile Construction in the TWIN Personality-based Recommender System
Roshchina, Alexandra
;
Cardiff, John
;
Rosso, Paolo
In: Conference Papers (2011)
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8
Personal Sense and Idiolect: Combining Authorship Attribution and Opinion Analysis
Panicheva, Polina
;
Cardiff, John
;
Rosso, Paolo
In: Conference Papers (2010)
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9
New Trends in Automatic Assessment: Ontology Matching
Mitina, Maria
;
Magee, Patricia
;
Cardiff, John
In: Conference Papers (2010)
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