Matching Items (3)

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Rethinking the Job Search: Bringing Technology Undergraduates a Better Understanding of their Job Market

Description

The objective of this project was the creation of a web app for undergraduate CIS/BDA students which allows them to search for jobs based on criteria that are not always directly available with the average job search engine. This

The objective of this project was the creation of a web app for undergraduate CIS/BDA students which allows them to search for jobs based on criteria that are not always directly available with the average job search engine. This includes technical skills, soft skills, location and industry. This creates a more focused way for these students to search for jobs using an application that also attempts to exclude positions that are looking for very experienced employees. The activities used for this project were chosen in attempt to make as many of the processes as automatable as possible.
This was achieved by first using offline explorer, an application that can download websites, to gather job postings from Dice.com that were searched by a pre-defined list of technical skills. Next came the parsing of the downloaded postings to extract and clean the data that was required and filling a database with that cleaned data. Then the companies were matched up with their corresponding industries. This was done using their NAICS (North American Industry Classification System) codes. The descriptions were then analyzed, and a group of soft skills was chosen based on the results of Word2Vec (a group of models that assists in creating word embeddings). A master table was then created by combining all of the tables in the database. The master table was then filtered down to exclude posts that required too much experience. Lastly, the web app was created using node.js as the back-end. This web app allows the user to choose their desired criteria and navigate through the postings that meet their criteria.

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Created

Date Created
2019-05

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A Quadruple-Based Text Analysis System for History and Philosophy of Science

Description

Computational tools in the digital humanities often either work on the macro-scale, enabling researchers to analyze huge amounts of data, or on the micro-scale, supporting scholars in the interpretation and analysis of individual documents. The proposed research system that was

Computational tools in the digital humanities often either work on the macro-scale, enabling researchers to analyze huge amounts of data, or on the micro-scale, supporting scholars in the interpretation and analysis of individual documents. The proposed research system that was developed in the context of this dissertation ("Quadriga System") works to bridge these two extremes by offering tools to support close reading and interpretation of texts, while at the same time providing a means for collaboration and data collection that could lead to analyses based on big datasets. In the field of history of science, researchers usually use unstructured data such as texts or images. To computationally analyze such data, it first has to be transformed into a machine-understandable format. The Quadriga System is based on the idea to represent texts as graphs of contextualized triples (or quadruples). Those graphs (or networks) can then be mathematically analyzed and visualized. This dissertation describes two projects that use the Quadriga System for the analysis and exploration of texts and the creation of social networks. Furthermore, a model for digital humanities education is proposed that brings together students from the humanities and computer science in order to develop user-oriented, innovative tools, methods, and infrastructures.

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Date Created
2014

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Mission Statement Alignment for Partnering and Non-Partnering Land-Managing Organizations

Description

Public and private lands depend on organizations to manage and protect them for the recreational enjoyment of humans and the conservation of biodiversity. Organizations that partner, or co-manage, to manage these lands can combine their resources to reach efficient conservation

Public and private lands depend on organizations to manage and protect them for the recreational enjoyment of humans and the conservation of biodiversity. Organizations that partner, or co-manage, to manage these lands can combine their resources to reach efficient conservation outcomes for biodiversity protection. How organizations express their priorities publicly through their mission statements are important because of their ability to reach stakeholders. In my thesis research, I collect the mission statements for 1144 organizations that are categorized into two groups of those that partner at least once and those that never partner. I analyze the extent to which they align and the drivers through performing text analysis by creating word clouds, word frequency lists, and identifying themes to categorize the words into for each group of partnering and non-partnering. Comparing partnering and non-partnering organization mission statements, I find that partnering organizations use more conservation-themed language and non-partnering organizations use community/people-themed language more frequently. I also find that the type of organization impacted the words being used, as well as the ratio of these different types of organizations that made up the total group of partnering and non-partnering (federal, local, and non-government organizations (NGO)). Future research could center around the dynamics of the partnerships and the extent to which mission statements play a role in attracting other organizations to partner and their role in clearly reflecting priorities to the public.

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Date Created
2021-12