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Articles 181 - 210 of 213
Full-Text Articles in Digital Humanities
Topic Modeling Analysis Of Supreme Court Opinions Focusing On Privacy Rights In The Context Of Abortion Law, Ellen Morrissey
Topic Modeling Analysis Of Supreme Court Opinions Focusing On Privacy Rights In The Context Of Abortion Law, Ellen Morrissey
IPHS 300: AI for Humanity
No abstract provided.
Doubles And Reflections: Sentiment Analysis And Vladimir Nabokov’S Pale Fire, Catherine Perloff
Doubles And Reflections: Sentiment Analysis And Vladimir Nabokov’S Pale Fire, Catherine Perloff
IPHS 300: AI for Humanity
In his novel, Pale Fire, Vladimir Nabokov uses a non-linear narrative composed in three parts: Foreword, Poem, and Commentary, apparently written by two distinct authors, John Shade and Charles Kinbote. Storylines appear to be separate at surface level yet work in interconnected ways at a deeper level. The novel deals with life after death, the story arc of a disguised, exiled king, and provides meta commentary on the art of commentary. The text was tricky to analyze without sentiment analysis principally because of its seemingly disjointed structure. Thus, there’s a bit of irony in that we found a repeated structure …
Analyzing Popular Music Using Spotify’S Machine Learning Audio Features, Noah Amsterdam
Analyzing Popular Music Using Spotify’S Machine Learning Audio Features, Noah Amsterdam
IPHS 300: AI for Humanity
The modern ability to stream music using services such as Spotify, Pandora, and Apple music has revolutionized how it is consumed. There is now more music accessible at our fingertips than ever before in history. As someone who has played an instrument their whole life and with some music theory knowledge, I always strive to better understand what I’m listening to. This motivated me to dive into finding out how music is quantified, specifically on Spotify, and what makes up people’s musical taste. I will be approaching music tastes from 3 angles: Spotify, music critics, and my own analysis and …
Can Gpt-2 Replace A Sex And The City Writers’ Room?, Alasia Destine-Defreece, Samara Handelsman, Talia Light Rake, Ally Merkel, Gracie Moses
Can Gpt-2 Replace A Sex And The City Writers’ Room?, Alasia Destine-Defreece, Samara Handelsman, Talia Light Rake, Ally Merkel, Gracie Moses
IPHS 300: AI for Humanity
Someday, in the not-so-distant future, will the writers’ room be replaced by artificial intelligence? This poster was created by a group of actors and writers who were curious about the role artificial intelligence could play in the future of television writing. In the first stage of this project, we prompted GPT-2 with the opening lines of a scene from the television show Sex and the City, and had GPT-2 finish the scene. We filmed the three best GPT-2 generated scenes, and screened these scenes for our “AI for the Humanities” class, along with a filmed version of the original Sex …
Lost In Translation: Using Sentiment Analysis To Analyze Translations Of Homer’S Odyssey, Erin Shaheen
Lost In Translation: Using Sentiment Analysis To Analyze Translations Of Homer’S Odyssey, Erin Shaheen
IPHS 300: AI for Humanity
For my final project in AI for the Humanities, I knew that I wanted to examine the creative role of translators in classic literature. I ran three different translations of Homer’s The Odyssey through Syuzhet.R, a sentiment analysis tool that has grown increasingly popular in the Digital Humanities field. Syuzhet tracks the emotional arc (also called “emotional valence”) of a text by giving each word a different score. For example, on a scale of -1 to 1, “terrible” might score -1 and “amazing” might score 1. A more neutral word like “okay” would score closer to 0. I chose translations …
Using Machine Learning To Predict Mlb Success Based On Milb Performance, Alexander Gow
Using Machine Learning To Predict Mlb Success Based On Milb Performance, Alexander Gow
IPHS 300: AI for Humanity
In 2017 alone Major League Baseball organizations spent a combined 492 million dollars on acquiring new, young, talented players through the draft or signing international free agents. The effectiveness of an MLB organization’s scouting department is pertinent to ensuring future success. Due to the highly volatile nature of professional sports, identifying a predictive and measurable statistic(s) associated with success among players would be valuable. Furthermore, a team’s ability to quickly and correctly identify players on their Minor League affiliates that will have a positive impact at the Major League level can give them an advantage over other teams. For this …
Guns In D.C. Appellate Court: Sentiment Analysis On Opinions From The Court Of Appeals For The D.C. Circuit, Grace Peterson, Jon Chun, Katherine Elkins
Guns In D.C. Appellate Court: Sentiment Analysis On Opinions From The Court Of Appeals For The D.C. Circuit, Grace Peterson, Jon Chun, Katherine Elkins
IPHS 300: AI for Humanity
No abstract provided.
Generating 3d Sculptures Using A Recurrent Neural Network With Long Short-Term Memory, Nick Downey
Generating 3d Sculptures Using A Recurrent Neural Network With Long Short-Term Memory, Nick Downey
IPHS 300: AI for Humanity
Sophisticated generative models have been some of the most obviously impressive achievements of AI in the past decade. Indeed, AI has approached or achieved human-level performance in a variety of domains, with a particular focus placed on artistic disciplines. Because writing a value function for this kind of model is effectively impossible, these models are notoriously difficult to evaluate. My aim was to create such a model, and in doing so elucidate the characteristics of successful generative AI and explore how generative models can be adapted successfully to new domains. And more broadly, I hoped to create a model capable …
Creating Art Using Generative Adversarial Networks, Henry Abbott
Creating Art Using Generative Adversarial Networks, Henry Abbott
IPHS 300: AI for Humanity
I set out to explore how artificial intelligence generated artwork compares to human created artwork. Using CycleGANs, my goal was to create art, and then conduct a Turing Test in order to determine whether or not one could distinguish between A.I. and human art. Using this test, as well as my own observations, I planned to analyze where CycleGANs succeeds in creating art, as well as where it struggles. Following this analysis, I thought more about what the results mean for art moving forward, and if artificial intelligence can truly create art.
Analyzing Visual Sentiment In Photojournalism, Eryn Powell
Analyzing Visual Sentiment In Photojournalism, Eryn Powell
IPHS 300: AI for Humanity
Like any other branch of journalism, a photojournalist’s intent is to capture an image that conveys the the events represented in the image while evoking an emotional response that allows the viewer to connect with the content of the photo or news report to which the photo is attached. Under the umbrella of photojournalism, political photography is unique in that it is heavily swayed by public opinion. This project intends to introduce a duel perspective on visual sentiment in political photojournalism.
The Influence Of Artificial Intelligence In Dance Choreography, Abby Plone
The Influence Of Artificial Intelligence In Dance Choreography, Abby Plone
IPHS 200: Programming Humanity
No abstract provided.
Evaluating Ai Music Generation With Performance Rnn In Magenta Tensorflow, Spalding Vance
Evaluating Ai Music Generation With Performance Rnn In Magenta Tensorflow, Spalding Vance
IPHS 200: Programming Humanity
No abstract provided.
Does U.S. Conflict Intervention Provoke Terrorism In The Middle East And North Africa?, Savannah Noel Overly
Does U.S. Conflict Intervention Provoke Terrorism In The Middle East And North Africa?, Savannah Noel Overly
IPHS 200: Programming Humanity
No abstract provided.
International Genetically Engineered Machine (Igem) Competition For The Liberal Arts, Shane M. Canfield
International Genetically Engineered Machine (Igem) Competition For The Liberal Arts, Shane M. Canfield
IPHS 200: Programming Humanity
No abstract provided.
Synthetic Biology: Analyzing Trends In Intellectual Property Rights Vs. Open Access To Research, 1989-2019, Ebie Quinn
Synthetic Biology: Analyzing Trends In Intellectual Property Rights Vs. Open Access To Research, 1989-2019, Ebie Quinn
IPHS 200: Programming Humanity
No abstract provided.
Fake Tweets: Using Twitter Api And Natural Language Processing (Nlp) To Analyze Twitter Users, Ceylan Can
Fake Tweets: Using Twitter Api And Natural Language Processing (Nlp) To Analyze Twitter Users, Ceylan Can
IPHS 200: Programming Humanity
No abstract provided.
Homomorphic Encryption, Emily Rachfal
Homomorphic Encryption, Emily Rachfal
IPHS 200: Programming Humanity
No abstract provided.
Centaur Screenwriting With 345m Gpt-2: The Problems And Possibilities Of Ai-Generated Creative Content For The Screen, Olivia Kane
Centaur Screenwriting With 345m Gpt-2: The Problems And Possibilities Of Ai-Generated Creative Content For The Screen, Olivia Kane
IPHS 200: Programming Humanity
In a world of technological advances, the line between human and artificially generated content is becoming increasingly blurred. AI generated visual art proves more pleasing to the eye, and music composed by computers is nearly indistinguishable from that of a human musician. The written word, however, seems to be one of the last great frontiers that artificial intelligence has yet to perfect. Our innate human ability to recognize anomalies in language prevents current platforms like GTP-2 from being effective in generating creative content on its own. Human interference and editing, however, may be able to create a new brand of …
Can Artificial Intelligence Be Creative?, Alexander Beatty
Can Artificial Intelligence Be Creative?, Alexander Beatty
IPHS 200: Programming Humanity
In a recently published essay, Sean Dorrance Kelly, a Philosophy professor at Harvard University, proposes his arguments for why he does not believe artificial intelligence has the capacity for true creativity. As one may expect from an individual of his profession, Kelly makes a compelling case for his claim; however, at its core, the piece is routed in the individual's natural biases and limited knowledge of the tech. As his piece is of the highest caliber of literature on the subject, it beautifully summarizes the most compelling arguments against artificial creativity. In this project, I will break down the key …
Natural Language Processing (Nlp) Of Liberal Arts College Newspapers In Ohio Over 30 Years, Shane Canfield
Natural Language Processing (Nlp) Of Liberal Arts College Newspapers In Ohio Over 30 Years, Shane Canfield
IPHS 300: AI for Humanity
Computers have been extremely useful in humanity’s quest for knowledge, performing calculations and other strenuous tasks in seconds. For a computer to perform the tasks, it requires a specific set of instructions, or code, to tell it what to do. These series of commands and instructions are strict, in that any syntactic error results in faulty, or zero functionality. Human language is very much unlike that of a computer, in that it can be grammatically incorrect, irregular, or even incomplete, yet another human may still get the point and understand the information being exchanged. A significant part about what makes …
Cold War Conflicts: Analyzing The Role Of U.S. Arms Exports, Kara Morrison
Cold War Conflicts: Analyzing The Role Of U.S. Arms Exports, Kara Morrison
IPHS 300: AI for Humanity
No abstract provided.
Predicting Attitudes Toward The Environment Artificial Intelligence For The Humanities, Emily Rachfal
Predicting Attitudes Toward The Environment Artificial Intelligence For The Humanities, Emily Rachfal
IPHS 300: AI for Humanity
No abstract provided.
Deep Reinforcement Learning In Trading Algorithms, Tucker Bennett, Delaney Ambrosen, Joe Woody, Simon Fruth
Deep Reinforcement Learning In Trading Algorithms, Tucker Bennett, Delaney Ambrosen, Joe Woody, Simon Fruth
IPHS 300: AI for Humanity
An algorithm that can learn an optimal policy to execute trade profitable is any market participant’s dream. In the project, we propose an algorithm that does just that: a Deep Reinforcement Learning trading algorithm. We design our algorithm by tuning the reward function to our specified constraints, taking into account unrealized Profits and Losses (PnL), Sharpe ratio, profits, and transaction costs. Additionally, we use a short 5-month moving average replay memory in order to ensure our algorithm is basing its decision on the most pertinent information. We combine the aforementioned concepts to make a theoretical Deep Reinforcement Learning trading algorithm.
Rnn Monophonic Sheet Music Generation With Lilypond, Seth Colbert-Pollack
Rnn Monophonic Sheet Music Generation With Lilypond, Seth Colbert-Pollack
IPHS 300: AI for Humanity
Computers are well suited to tasks such as data categorization and labeling. More challenging is data “generation”, a problem in which recurrent neural networks (RNNs) and more specifically long short-term memory networks (LSTMs) have made significant progress in the past few years. In this project, I train an RNN on a database of classical sheet music, and use it to generate new sheet music.
Transitional Justice Terminology Analysis In United Nations General Assembly Speeches (1971-2015), Michael Lahanas
Transitional Justice Terminology Analysis In United Nations General Assembly Speeches (1971-2015), Michael Lahanas
IPHS 300: AI for Humanity
No abstract provided.
Leed Certification Prediction With K-Means Clustering Algorithm, Jack Chase
Leed Certification Prediction With K-Means Clustering Algorithm, Jack Chase
IPHS 300: AI for Humanity
This project uses a K-Means Clustering algorithm. K-Means Clustering is a method of vector quantization, originally from signal processing that is popular for cluster analysis in data mining. K-Means Clustering aims to partition n observations into kclusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. The example above has three clusters, and my project used four clusters, one for each LEED Certification. I
Artistic Style Transfer: How Convolutional Breaks From Convention, Miles Shebar
Artistic Style Transfer: How Convolutional Breaks From Convention, Miles Shebar
IPHS 300: AI for Humanity
No abstract provided.
Computational Approaches To Predicting Cryptocurrency Prices, Chris Pelletier
Computational Approaches To Predicting Cryptocurrency Prices, Chris Pelletier
IPHS 300: AI for Humanity
No abstract provided.
Picmoji - English Translator, Alexander Beatty
Picmoji - English Translator, Alexander Beatty
IPHS 300: AI for Humanity
This project lays the groundwork for studying how sentiment changes as information is selectively converted from (a) text to imagery and then from (b) image/text to interpretation. The first process is guided by Artificial Intelligence embedded within Natural Language Processing while the second processes a product of human intelligence and interpretation.
Oral History Transcription Guide, Digital Kenyon
Oral History Transcription Guide, Digital Kenyon
Instructions, Forms, and Toolkits
No abstract provided.