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Full-Text Articles in Social and Behavioral Sciences
Identification Of Informativeness In Text Using Natural Language Stylometry, Rushdi Shams
Identification Of Informativeness In Text Using Natural Language Stylometry, Rushdi Shams
Electronic Thesis and Dissertation Repository
In this age of information overload, one experiences a rapidly growing over-abundance of written text. To assist with handling this bounty, this plethora of texts is now widely used to develop and optimize statistical natural language processing (NLP) systems. Surprisingly, the use of more fragments of text to train these statistical NLP systems may not necessarily lead to improved performance. We hypothesize that those fragments that help the most with training are those that contain the desired information. Therefore, determining informativeness in text has become a central issue in our view of NLP. Recent developments in this field have spawned …
Complex Network Analysis For Scientific Collaboration Prediction And Biological Hypothesis Generation, Qing Zhang
Complex Network Analysis For Scientific Collaboration Prediction And Biological Hypothesis Generation, Qing Zhang
Theses and Dissertations
With the rapid development of digitalized literature, more and more knowledge has been discovered by computational approaches. This thesis addresses the problem of link prediction in co-authorship networks and protein--protein interaction networks derived from the literature. These networks (and most other types of networks) are growing over time and we assume that a machine can learn from past link creations by examining the network status at the time of their creation. Our goal is to create a computationally efficient approach to recommend new links for a node in a network (e.g., new collaborations in co-authorship networks and new interactions in …
Predicting Music Genre Preferences Based On Online Comments, Andrew J. Sinclair
Predicting Music Genre Preferences Based On Online Comments, Andrew J. Sinclair
Master's Theses
Communication Accommodation Theory (CAT) states that individuals adapt to each other’s communicative behaviors. This adaptation is called “convergence.” In this work we explore the convergence of writing styles of users of the online music distribution plat- form SoundCloud.com. In order to evaluate our system we created a corpus of over 38,000 comments retrieved from SoundCloud in April 2014. The corpus represents comments from 8 distinct musical genres: Classical, Electronic, Hip Hop, Jazz, Country, Metal, Folk, and World. Our corpus contains: short comments, frequent misspellings, little sentence struc- ture, hashtags, emoticons, and URLs. We adapt techniques used by researchers analyzing other …