Digital humanities is an interdisciplinary field that combines the methods and tools of digital technology with the study of humanities disciplines such as literature, history, linguistics, art, and cultural studies.

In this four-part introductory series, participants will be introduced to digital humanities concepts, methods, and tools.

• Part 1: What is Digital Humanities? - Wednesday, October 4, 12-1pm, Library Classroom 107
• Part 2: GIS/Mapping - Wednesday, October 18, 12-1pm, Library Classroom 107
• Part 3: Sentiment Analysis - Wednesday, November 1, 12-1pm, Library Classroom 107
• Part 4: Network Analysis - Wednesday, November 15, 12-1pm, Library Classroom 107

All events are free and open to the public. No experience is required. Participants can either bring their own laptop or use one provided by the library. Participants may attend in person or online. Registration is required. More information about each session is available below.

Part 1: What is Digital Humanities? - Wednesday, October 4, 12-1

In this introductory session, participants will look at varying definitions of digital humanities, explore how DH tools can supplement and enhance traditional humanities research, and learn basic best practices for preparing data for analysis. Participants will also be introduced to a sampling of DH projects that use different DH methodologies and tools.

Part 2:  GIS/Mapping  - Wednesday, October 18, 12-1pm

​​​​​​​Geographic Information Systems (GIS) applications are computer or web-based tools that allow for the analysis of geospatial data through maps and visualization techniques. 

In this session, participants will learn how to plot geospatial data using Tableau.

Part 3: Sentiment Analysis - Wednesday, November 1, 12-1pm

​​​​​​​Sentiment analysis, also known as opinion mining, is a natural language processing (NLP) technique used to determine and extract the sentiment or emotional tone expressed in a piece of text, such as a sentence, paragraph, or document. The primary goal of sentiment analysis is to assess whether the sentiment in the text is positive, negative, neutral, or even more nuanced, such as identifying specific emotions like joy, anger, sadness, or surprise. Tech Target

In this session, participants will learn how to conduct sentiment analysis using Gale Digital Scholar Lab.

Part 4: Network Analysis - Wednesday, November 15, 12-1pm

Network analysis examines relationships among entities, such as persons, organizations, or documents and visualizes these connections into a web. ScienceDirect

In this session, participants will learn about network analysis using Gephi.