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BEGIN:VEVENT
DTSTART:20260212T160000Z
DTEND:20260212T170000Z
DTSTAMP:20260212T000000Z
SUMMARY:Text Analysis for Beginners - A 3-Session\, Hands-On Series
DESCRIPTION:In this 3-part series\, participants will be introduced to 
 common text analysis methods and tools.\n\n\n	Session 1: Basics of Text 
 Analysis with Voyant – Thursday\, February 12\n	Session 2: Sentiment 
 Analysis with Digital Scholar Lab – Thursday\, February 19\n	Session 3: 
 Network Analysis with Gephi – Thursday\, February 26\n\n\nAll sessions 
 are from 10:00 – 11:00 AM in Library Classroom 103. Registration is 
 required. Participants may bring their own laptop or use one provided by 
 the library.\n\nMore information about each session is available 
 below.\n\nSession 1: Basics of Text Analysis with Voyant\n\n\n	Text 
 Analysis is a set of computational techniques drawn from Natural Language 
 Processing (NLP) that focus on identifying\, extracting\, organizing\, and 
 analyzing patterns within large bodies of textual data. Rather than 
 concentrating on emotional tone alone\, text analysis examines what is 
 being discussed\, how language is used\, and how themes\, concepts\, and 
 relationships emerge across texts.\n	The goal of text analysis is to 
 uncover meaningful patterns and structures in text—such as key themes\, 
 word frequencies\, topics\, trends over time\, stylistic features\, and 
 relationships between terms—to support interpretation\, comparison\, and 
 research questions that would be difficult to address through close reading 
 alone.\n	In this session\, participants will learn how to conduct text 
 analysis using Voyant\, a free\, open source\, web-based text analysis 
 platform.\n\n\nSession 2: Sentiment Analysis with Digital Scholar 
 Lab\n\n\n	Sentiment analysis is a Natural Language Processing NLP technique 
 that deals with identifying\, extracting\, classifying\, and quantifying 
 subjective information — such as opinions\, attitudes\, emotions\, or 
 evaluations — expressed in textual data. \n	The goal of sentiment 
 analysis is to determine the sentiment orientation (e.g. positive\, 
 negative\, neutral) and intensity (e.g.\, very positive\, very negative) of 
 texts.\n	In this session\, participants will learn how to conduct sentiment 
 analysis using Digital Scholar Lab\, a cloud-based research platform 
 (access provided by UM Libraries).\n\n\nSession 3: Network Analysis with 
 Gephi \n\n\n	Network analysis is the exploration and visual representation 
 of the connections among entities in a dataset. \n	Network visualizations 
 often focus on social networks among people\, which are typically 
 represented as “nodes” and their connections\, which are typically 
 represented as “edges.”\n	The three most common network types 
 are:\n	\n		Co-Occurrence Networks\n		\n			Nodes that appear in the same 
 context\n		\n		\n		Citation/Influence Networks\n		\n			How scholars 
 reference or influence each other\n		\n		\n		Correspondence 
 Networks\n		\n			Record of who communicates with whom\, how often\, and 
 when\n		\n		\n	\n	\n	In this session\, participants will learn to conduct 
 network analysis using Gephi\, a free\, open-source desktop-based network 
 analysis platform.\n\n\nAll events are free and open to the public. \n\nNo 
 experience needed.
LOCATION:Classroom 103
ORGANIZER;CN="Cody Ray":MAILTO:wcray@olemiss.edu
CATEGORIES:Workshop
CONTACT;CN="Cody Ray":MAILTO:wcray@olemiss.edu
STATUS:CONFIRMED
UID:LibCal-16008816
URL:https://calendar.lib.olemiss.edu/event/16008816
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BEGIN:VEVENT
DTSTART:20260219T160000Z
DTEND:20260219T170000Z
DTSTAMP:20260219T000000Z
SUMMARY:Text Analysis for Beginners - A 3-Session\, Hands-On Series
DESCRIPTION:In this 3-part series\, participants will be introduced to 
 common text analysis methods and tools.\n\n\n	Session 1: Basics of Text 
 Analysis with Voyant – Thursday\, February 12\n	Session 2: Sentiment 
 Analysis with Digital Scholar Lab – Thursday\, February 19\n	Session 3: 
 Network Analysis with Gephi – Thursday\, February 1926\n\n\nAll sessions 
 are from 10:00 – 11:00 AM in Library Classroom 103. Registration is 
 required. Participants may bring their own laptop or use one provided by 
 the library.\n\nMore information about each session is available 
 below.\n\nSession 1: Basics of Text Analysis with Voyant\n\n\n	Text 
 Analysis is a set of computational techniques drawn from Natural Language 
 Processing (NLP) that focus on identifying\, extracting\, organizing\, and 
 analyzing patterns within large bodies of textual data. Rather than 
 concentrating on emotional tone alone\, text analysis examines what is 
 being discussed\, how language is used\, and how themes\, concepts\, and 
 relationships emerge across texts.\n	The goal of text analysis is to 
 uncover meaningful patterns and structures in text—such as key themes\, 
 word frequencies\, topics\, trends over time\, stylistic features\, and 
 relationships between terms—to support interpretation\, comparison\, and 
 research questions that would be difficult to address through close reading 
 alone.\n	In this session\, participants will learn how to conduct text 
 analysis using Voyant\, a free\, open source\, web-based text analysis 
 platform.\n\n\nSession 2: Sentiment Analysis with Digital Scholar 
 Lab\n\n\n	Sentiment analysis is a Natural Language Processing NLP technique 
 that deals with identifying\, extracting\, classifying\, and quantifying 
 subjective information — such as opinions\, attitudes\, emotions\, or 
 evaluations — expressed in textual data. \n	The goal of sentiment 
 analysis is to determine the sentiment orientation (e.g. positive\, 
 negative\, neutral) and intensity (e.g.\, very positive\, very negative) of 
 texts.\n	In this session\, participants will learn how to conduct sentiment 
 analysis using Digital Scholar Lab\, a cloud-based research platform 
 (access provided by UM Libraries).\n\n\nSession 3: Network Analysis with 
 Gephi \n\n\n	Network analysis is the exploration and visual representation 
 of the connections among entities in a dataset. \n	Network visualizations 
 often focus on social networks among people\, which are typically 
 represented as “nodes” and their connections\, which are typically 
 represented as “edges.”\n	The three most common network types 
 are:\n	\n		Co-Occurrence Networks\n		\n			Nodes that appear in the same 
 context\n		\n		\n		Citation/Influence Networks\n		\n			How scholars 
 reference or influence each other\n		\n		\n		Correspondence 
 Networks\n		\n			Record of who communicates with whom\, how often\, and 
 when\n		\n		\n	\n	\n	In this session\, participants will learn to conduct 
 network analysis using Gephi\, a free\, open-source desktop-based network 
 analysis platform.\n\n\nAll events are free and open to the public. \n\nNo 
 experience needed.
LOCATION:Classroom 103
ORGANIZER;CN="Cody Ray":MAILTO:wcray@olemiss.edu
CATEGORIES:Workshop
CONTACT;CN="Cody Ray":MAILTO:wcray@olemiss.edu
STATUS:CONFIRMED
UID:LibCal-16008817
URL:https://calendar.lib.olemiss.edu/event/16008817
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END:VALARM
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BEGIN:VEVENT
DTSTART:20260226T160000Z
DTEND:20260226T170000Z
DTSTAMP:20260226T000000Z
SUMMARY:Text Analysis for Beginners - A 3-Session\, Hands-On Series
DESCRIPTION:In this 3-part series\, participants will be introduced to 
 common text analysis methods and tools.\n\n\n	Session 1: Basics of Text 
 Analysis with Voyant – Thursday\, February 12\n	Session 2: Sentiment 
 Analysis with Digital Scholar Lab – Thursday\, February 19\n	Session 3: 
 Network Analysis with Gephi – Thursday\, February 26\n\n\nAll sessions 
 are from 10:00 – 11:00 AM in Library Classroom 103. Registration is 
 required. Participants may bring their own laptop or use one provided by 
 the library.\n\nMore information about each session is available 
 below.\n\nSession 1: Basics of Text Analysis with Voyant\n\n\n	Text 
 Analysis is a set of computational techniques drawn from Natural Language 
 Processing (NLP) that focus on identifying\, extracting\, organizing\, and 
 analyzing patterns within large bodies of textual data. Rather than 
 concentrating on emotional tone alone\, text analysis examines what is 
 being discussed\, how language is used\, and how themes\, concepts\, and 
 relationships emerge across texts.\n	The goal of text analysis is to 
 uncover meaningful patterns and structures in text—such as key themes\, 
 word frequencies\, topics\, trends over time\, stylistic features\, and 
 relationships between terms—to support interpretation\, comparison\, and 
 research questions that would be difficult to address through close reading 
 alone.\n	In this session\, participants will learn how to conduct text 
 analysis using Voyant\, a free\, open source\, web-based text analysis 
 platform.\n\n\nSession 2: Sentiment Analysis with Digital Scholar 
 Lab\n\n\n	Sentiment analysis is a Natural Language Processing NLP technique 
 that deals with identifying\, extracting\, classifying\, and quantifying 
 subjective information — such as opinions\, attitudes\, emotions\, or 
 evaluations — expressed in textual data. \n	The goal of sentiment 
 analysis is to determine the sentiment orientation (e.g. positive\, 
 negative\, neutral) and intensity (e.g.\, very positive\, very negative) of 
 texts.\n	In this session\, participants will learn how to conduct sentiment 
 analysis using Digital Scholar Lab\, a cloud-based research platform 
 (access provided by UM Libraries).\n\n\nSession 3: Network Analysis with 
 Gephi \n\n\n	Network analysis is the exploration and visual representation 
 of the connections among entities in a dataset. \n	Network visualizations 
 often focus on social networks among people\, which are typically 
 represented as “nodes” and their connections\, which are typically 
 represented as “edges.”\n	The three most common network types 
 are:\n	\n		Co-Occurrence Networks\n		\n			Nodes that appear in the same 
 context\n		\n		\n		Citation/Influence Networks\n		\n			How scholars 
 reference or influence each other\n		\n		\n		Correspondence 
 Networks\n		\n			Record of who communicates with whom\, how often\, and 
 when\n		\n		\n	\n	\n	In this session\, participants will learn to conduct 
 network analysis using Gephi\, a free\, open-source desktop-based network 
 analysis platform.\n\n\nAll events are free and open to the public. \n\nNo 
 experience needed.
LOCATION:Classroom 103
ORGANIZER;CN="Cody Ray":MAILTO:wcray@olemiss.edu
CATEGORIES:Workshop
CONTACT;CN="Cody Ray":MAILTO:wcray@olemiss.edu
STATUS:CONFIRMED
UID:LibCal-16008818
URL:https://calendar.lib.olemiss.edu/event/16008818
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