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Articles 1 - 4 of 4
Full-Text Articles in Human Ecology
Man V.S. Wild: An Analysis Of Language Used Regarding Human-Wildlife Conflict In The Kibale National Park Community, Western Region, Uganda, Sophie Perfetto
Man V.S. Wild: An Analysis Of Language Used Regarding Human-Wildlife Conflict In The Kibale National Park Community, Western Region, Uganda, Sophie Perfetto
Independent Study Project (ISP) Collection
If humans are to live sustainably and in harmony with wildlife in the vicinity of Protected Areas, policy makers, and government authorities need to make informed decisions with consideration to the needs of local communities. For this to happen, policy makers must understand the perceptions of local communities and take local perspectives into account. As language is at the root of perception, language was studied in the context of its role in shaping local perceptions of human-wildlife conflict and consequential conflict mitigation strategies. Six communities around the Northern region of Kibale National Park, Uganda, were studied, with sites located in …
Sentiment Analysis Methods For Understanding Large-Scale Texts: A Case For Using Continuum-Scored Words And Word Shift Graphs, Andrew J. Reagan, Christopher M. Danforth, Brian Tivnan, Jake Ryland Williams, Peter Sheridan Dodds
Sentiment Analysis Methods For Understanding Large-Scale Texts: A Case For Using Continuum-Scored Words And Word Shift Graphs, Andrew J. Reagan, Christopher M. Danforth, Brian Tivnan, Jake Ryland Williams, Peter Sheridan Dodds
College of Engineering and Mathematical Sciences Faculty Publications
The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding of human behavior. Given the growing assortment of sentiment-measuring instruments, it is imperative to understand which aspects of sentiment dictionaries contribute to both their classification accuracy and their ability to provide richer understanding of texts. Here, we perform detailed, quantitative tests and qualitative assessments of 6 dictionary-based methods applied to 4 different corpora, and briefly examine a further 20 methods. We show that while inappropriate for sentences, dictionary-based methods are generally robust in …
The Emotional Arcs Of Stories Are Dominated By Six Basic Shapes, Andrew J. Reagan, Lewis Mitchell, Dilan Kiley, Christopher M. Danforth, Peter Sheridan Dodds
The Emotional Arcs Of Stories Are Dominated By Six Basic Shapes, Andrew J. Reagan, Lewis Mitchell, Dilan Kiley, Christopher M. Danforth, Peter Sheridan Dodds
College of Engineering and Mathematical Sciences Faculty Publications
Advances in computing power, natural language processing, and digitization of text now make it possible to study a culture’s evolution through its texts using a ‘big data’ lens. Our ability to communicate relies in part upon a shared emotional experience, with stories often following distinct emotional trajectories and forming patterns that are meaningful to us. Here, by classifying the emotional arcs for a filtered subset of 1,327 stories from Project Gutenberg’s fiction collection, we find a set of six core emotional arcs which form the essential building blocks of complex emotional trajectories. We strengthen our findings by separately applying matrix …
Human Language Reveals A Universal Positivity Bias, Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow, Karine Megerdoomian, Matthew T. Mcmahon, Brian F. Tivnan, Christopher M. Danforth
Human Language Reveals A Universal Positivity Bias, Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow, Karine Megerdoomian, Matthew T. Mcmahon, Brian F. Tivnan, Christopher M. Danforth
College of Engineering and Mathematical Sciences Faculty Publications
Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (i ) the words of natural human language possess a universal positivity bias, (ii ) the estimated emotional content of words is consistent between languages under translation, and (iii ) this positivity bias is strongly independent of frequency of word use. Alongside these general regularities, we describe interlanguage variations in the emotional spectrum of languages that allow us to rank corpora. We also show how our word evaluations …