The mission of the Baylor Libraries’ Digital Scholarship Program is to integrate digital research tools and techniques into campus research and curricula.

 

 Text Mining/Analysis Data Visualization Geospatial Analysis
Parse and structure words and phrases within texts in order to identify patterns, trends, topics, similarities, and more. Represent data in a symbolic visual environment in order to help explore and understand datasets (interactive visualization) or to convey a story or point of view (infographic). Use Geographic Information Systems (GIS) tools to question, analyze, and interpret spatial (location-based) and non-spatial (tabular) data to understand relationships, patterns, and trends.
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Most recent 5 posts

  • Sentiment of 66 of George W. Truett's Sermons
    Project Title: Sentiment of 66 of George W. Truett's Sermons Click to launch visualization Description:Visualization providing sentiment scores for 66 Truett sermons given between 1941-1943. Sentiment was calculated for each sentence in the 66 Truett sermons available from the Baylor Library Digital Collections. The VADER (Valence Aware Dictionary and sEntiment Reasoner) Sentiment analysis Python library…
  • Creative Waco - New Potential Constituents
    Project Title: Creative Waco - New Potential Constituents Description:Each student group is focusing on one particular sector to help identify other constituents to bring to the table to work with Creative Waco. Based on each team's focus, students used up to five (5) variables to create a Risk Index by Block Group in McLennan County.…
  • Baylor Libraries Latent Semantic Index (LSI)
    Click here to navigate to the LSI Tool download page. Generates related keywords from a corpus bundled together into topic areas. 10 keywords are generated per topic. A single text file is uploaded and each line is treated as a separate document. Baylor University Libraries: LSI Topic Model Implements the Latent Semantic Index From Wikipedia…
  • Baptist Magazine View of the World 1837-1847
    Project Title: Baptist Magazine View of the World 1837-1847 Description: In order to better understand the view of the world from the average Baptist point of view in 1837 and 1847, The Baptist Magazine was mined for geographic locations in two years. After manually filtering and normalizing location references, visualizations were created showing geographic reference…
  • Baylor Libraries' Sentiment Per Line
    Click here to navigate to the Sentiment Per Line download page.     Sentiment-Per-Line Sentiment values per line in text file. Results downloaded to structured csv table. Baylor University Libraries: Implementation of VaderSentiment VADER (Valence Aware Dictionary and sEntiment Reasoner) This Python application was created by the Baylor University Libraries to assist researchers to apply…