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Events for April 07, 2017

  • AI Seminar

    Fri, Apr 07, 2017 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Marijn ten Thij, Vrije Universiteit Amsterdam

    Talk Title: Beyond tracking: modelling human behavior through social media

    Abstract: In this talk, I present my ongoing work in modeling human behavior
    using data from online platforms. I will discuss three of my projects
    that focus on two online platforms Wikipedia and Twitter. First, I
    will illustrate how I model the effect of promoting content on the
    page view activity on Wikipedia by using the page view logs provided
    by WikiMedia. I will then discuss the random graph model I designed
    based on data from Twitter, which may be used to mimic the progression
    of a trend through the network of Twitter. Finally, I will talk about
    my current project, where we aim to capture business value from a
    social feed for the Horticulture Industry.



    Biography: Marijn ten Thij is a PhD student in Mathematics at Vrije Universiteit
    Amsterdam, who graduated in Applied Mathematics at the Stochastic
    Operations Research group at the University of Twente. His research
    interest lies in the fields of Complex Science, Network Science and
    Big Data. In 2014, Marijn was a member of the Dutch National
    ThinkTank, where he worked on the question Can Big Data be used to
    make the Netherlands more mobile, more social, and more healthy?
    Marijn lives in Amsterdam and enjoys playing American pool billiards
    in his spare time.

    Host: Emilio Ferrara

    More Info: http://webcastermshd.isi.edu/Mediasite/Play/d5714d851721421a857168a930b571e81d

    Location: 11th floor large conference room

    Audiences: Everyone Is Invited

    Contact: Kary LAU

    Event Link: http://webcastermshd.isi.edu/Mediasite/Play/d5714d851721421a857168a930b571e81d


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

  • NL Seminar - ConversAtion level Syntax SImilarity Metric CASSIM)

    Fri, Apr 07, 2017 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Reihane Boghrati , (USC)

    Talk Title: ConversAtion level Syntax SImilarity Metric CASSIM

    Series: Natural Language Seminar

    Abstract: Abstract: The syntax and semantics of human language can illuminate many individual psychological differences and important dimensions of social interaction. Thus, analysis of language provides important insights into the underlying psychological properties of individuals and groups. Accordingly, psychological and psycholinguistic research has begun incorporating sophisticated representations of semantic content to better understand the connection between word choice and psychological processes. While the majority of language analysis work in psychology has focused on semantics, psychological information is encoded not just in what people say, but how they say it. We introduce ConversAtion level Syntax SImilarity Metric (CASSIM), a novel method for calculating conversation-level syntax similarity. CASSIM estimates the syntax similarity between conversations by automatically generating syntactical representations of the sentences in conversations, estimating the structural differences between them, and calculating an optimized estimate of the conversation-level syntax similarity. Also, we conduct a series of analyses with CASSIM to investigate syntax accommodation in social media discourse. Further, building off of CASSIM, we propose ConversAtion level Syntax SImilarity Metric-Group Representations CASSIM GR. This extension builds generalized representations of syntactic structures of documents, thus allowing researchers to distinguish between people and groups based on syntactic differences.


    Biography: Reihane is a forth year Ph.D student at USC, working with Morteza Dehghani in Computational Social Science Laboratory. She is interested in introducing new methods and computational models to psychology, and more broadly to social sciences. Her work spans the boundary between natural language processing and psychology, as does her intellectual curiosity.

    Host: Marjan Ghazvininejad and Kevin Knight

    More Info: http://nlg.isi.edu/nl-seminar/

    Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: http://nlg.isi.edu/nl-seminar/


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.