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Description
A common challenge faced by students is that they often have questions about course material that they cannot ask during lecture time. There are many ways for students to have these questions answered, such as office hours and online discussion boards. However, office hours may be at inconvenient times or locations, and online discussion boards are difficult to navigate and may be inactive. The purpose of this project was to create an Alexa skill that allows users to ask their Alexa-equipped device a question concerning their course material and to receive an answer retrieved from discussion board data. User questions are mapped to discussion board posts by use of the cosine similarity algorithm. In this algorithm, posts from the discussion board and the user’s question are converted into mathematical vectors, with each term in the vector corresponding to a word. The values of these terms are computed based on the word’s frequency within the vector’s corresponding document, the frequency of that word within all the documents, and the length of the document. After the question and candidate posts are converted into vectors, the algorithm determines the post most similar to the user’s question by computing the angle between the vectors. With the most similar discussion board post determined, the user receives the replies to the post, if any, as their answer. Users are able to indicate to their Alexa device whether they were satisfied by the answer, and if they were unsatisfied then they are given the opportunity to either rephrase their question or to have the question sent to a database of unanswered questions. The professor can view and answer the questions in this database on a website hosted by use of Amazon’s Simple Storage Service. The Alexa skill does well at answering questions that have already been asked in the discussion board. However, the skill depends heavily on the user’s word choice. Two questions that are semantically identical but different in phrasing are often given different answers. This is because the cosine algorithm measures similarity on the basis of word overlap, not semantic meaning, and thus the application never truly “understands” what type of answer the user desires. Improving the performance of this Alexa skill will require a more advanced question answering algorithm, but the limitations of Amazon Web Services as a development platform make implementing such an algorithm difficult. Nevertheless, this project has created the basis of a question answering Alexa skill by demonstrating a feasible way that the resources offered by Amazon can be utilized in order to build such an application.
ContributorsBaker, Matthew Elias (Author) / Chen, Yinong (Thesis director) / Balasooriya, Janaka (Committee member) / Historical, Philosophical & Religious Studies (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This paper is an in-depth analysis of the actions and rhetoric of Donald Trump’s presidency from the perspective of Machiavelli’s most famed work, 'The Prince'. Its premise is born from two articles claiming Donald Trump was either the American Machiavelli or the Anti-Machiavelli, and sets out to find out which title is the most accurate. The end findings suggest that President Trump did not follow enough rules in 'The Prince' to be Machiavellian, but that Trumpism as a political doctrine has the potential grow into a modern day Machiavellianism.
ContributorsSandy, Charlotte Rose (Author) / Simhony, Avital (Thesis director) / Lennon, Tara (Committee member) / Historical, Philosophical & Religious Studies (Contributor) / School of Politics and Global Studies (Contributor, Contributor) / Watts College of Public Service & Community Solut (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This thesis examines the recent emergence of populist radical right-wing parties across Western and Eastern Europe. Starting with the insufficiency of current explanations for this rise, I examine micro-, macro-, and meso- scale cross-national analyses to determine which major variables predict the rise of populist right-wing forces across these nation-states. Finally, using the conceptual resources of social identity theory, the paper argues that social status may be a mediating factor by which economic and cultural-identitarian forces influence the populist radical right.
ContributorsFerdowsian, Ryan Sameer (Author) / Hechter, Michael (Thesis director) / Pout, Daniel (Committee member) / Historical, Philosophical & Religious Studies (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Alexis de Tocqueville concludes the second volume of his influential political work Democracy in America with a discussion of “What Kind of Despotism Democratic Nations have to Fear.” The phenomenon Tocqueville seeks to capture in his final chapters is often called “democratic” or “soft” despotism, and it is notably distinct from the traditional conception of despotism. The threat soft despotism represents to democracies is new to the world Tocqueville lived in, and as such, Tocqueville chose the word despotism to describe it because he felt no better word existed. So, to accurately describe the phenomenon that Tocqueville feared, he had to re-conceptualize despotism. When Tocqueville discusses soft despotism, he means a democratic state where people are incapable of being truly free. In examining this concretely, I have developed five criteria which capture all the characteristics of soft despotism: 1. The equality of conditions; 2. The destruction of social connection; 3. The creation of a centralized administrative state; 4. The fulfillment of base desires; and 5. The death of the political sphere. In “Defining Soft Despotism,” I offer explanations of what each of these five criteria means, and I discuss both how Tocqueville and later scholars view them. I offer my own understanding of each of these criteria framed in Tocqueville’s thought. Next, in “Understanding Soft Despotism,” I discuss what about soft despotism is so concerning to Tocqueville and focus on his belief that it fundamentally changes the people who live under it, depriving them of their humanity. Then, I discuss why Americans should be concerned today. Lastly, in “Measuring Soft Despotism,” I take data for each of the five criteria and examine them to see if they appear to match what Tocqueville envisioned a soft despotism would be like. In my assessment, I find that America today does not seem to be a soft despotism. America does not meet all five criteria I believe define a soft despotism. Instead, it appears America is only close to experiencing two of the five: the destruction of social connection, and the death of the political sphere. Despite these findings, there is still room for concern that America is heading towards becoming a soft despotism, or is perhaps headed in a different, but equally undesirable direction.
ContributorsBartlemay, Robert Charles (Author) / German, Zachary (Thesis director) / Carrese, Paul (Committee member) / Historical, Philosophical & Religious Studies (Contributor, Contributor) / School of Civic & Economic Thought and Leadership (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05