Our Thumbs

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Carotid Artery Stenting 2013: Thumbs up

It has been customary for interventional cardiologists involved in carotid artery stenting, to underline non-inferiority of the percutaneous technique versus surgical carotid endarterectomy. To that end, all cause morbidity and mortality figures of both methods are compared. Surgery has, in most large randomized studies, had an edge over stenting in terms of cerebrovascular adverse events. This...

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3d Printing: Giving Prosthetics Two Thumbs Up

University of Pittsburgh, Swanson School of Engineering 11.01.2016 1 Disclaimer—This paper partially fulfills a writing requirement for first year (freshman) engineering students at the University of Pittsburgh Swanson School of Engineering. This paper is a student, not a professional, paper. This paper is based on publicly available information and may not provide complete analyses of all rele...

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Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews

This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic orientation of the phrases in the review that contain adjectives or adverbs. A phrase has a positive semantic orientation when it has good associations (e.g., “subtle nuances”) and a ...

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The Thumbs Up! Twente system for GIVE 2.5

This paper describes the Thumbs Up! Twente system, a natural language generation system designed for the GIVE 2.5 Challenge. The purpose of the system is to guide a user through a virtual 3D environment by generating instructions in real-time. Our system focuses on motivating the user to keep him playing the game and trying to find the trophy.

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P ) Thumbs up ? Sentiment Classification using Machine Learning Techniques

We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we find that standard machine learning techniques definitively outperform human-produced baselines. However, the three machine learning methods we employed (Naive Bayes, maximum entropy classification, and support vecto...

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ژورنال

عنوان ژورنال: Baylor University Medical Center Proceedings

سال: 2002

ISSN: 0899-8280,1525-3252

DOI: 10.1080/08998280.2002.11927870