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CANTINA+: A Feature-Rich Machine Learning Framework for Detecting Phishing Web Sites
Phishing is a plague in cyberspace. Typically, phish detection methods either use human-verified URL blacklists or exploit Web page features via machine learning techniques. However, the former isExpand
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Talk to me: foundations for successful individual-group interactions in online communities
People come to online communities seeking information, encouragement, and conversation. When a community responds, participants benefit and become more committed. Yet interactions often fail. In aExpand
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Analyzing collaborative learning processes automatically: Exploiting the advances of computational linguistics in computer-supported collaborative learning
In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically inExpand
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When Are Tutorial Dialogues More Effective Than Reading?
It is often assumed that engaging in a one-on-one dialogue with a tutor is more effective than listening to a lecture or reading a text. Although earlier experiments have not always supported thisExpand
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“ Turn on , Tune in , Drop out ” : Anticipating student dropouts in Massive Open Online Courses
In this paper, we explore student dropout behavior in Massive Open Online Courses(MOOC). We use as a case study a recent Coursera class from which we develop a survival model that allows us toExpand
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Intelligent Tutoring Systems with Conversational Dialogue
Many of the intelligent tutoring systems that have been developed during the last 20 years have proven to be quite successful, particularly in the domains of mathematics, science, and technology.Expand
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Spoken Versus Typed Human and Computer Dialogue Tutoring
While human tutors typically interact with students using spoken dialogue, most computer dialogue tutors are text-based. We have conducted 2 experiments comparing typed and spoken tutoring dialogues,Expand
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Sentiment Analysis in MOOC Discussion Forums: What does it tell us?
Sentiment analysis is one of the great accomplishments of the last decade in the field of Language Technologies. In this paper, we explore mining collective sentiment from forum posts in a MassiveExpand
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The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing
The Why2-Atlas system teaches qualitative physics by having students write paragraph-long explanations of simple mechanical phenomena. The tutor uses deep syntactic analysis and abductive theoremExpand
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Detecting offensive tweets via topical feature discovery over a large scale twitter corpus
In this paper, we propose a novel semi-supervised approach for detecting profanity-related offensive content in Twitter. Our approach exploits linguistic regularities in profane language viaExpand
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