The document discusses cultural text mining workflows and methods. It describes extracting subsets of digitized newspaper text, stripping metadata, and uploading to Voyant for analysis. Topic modeling is used to identify context-specific words by creating word and topic distributions from texts. Interesting keywords from topic modeling outputs can then be used for further exploration of word frequencies and changes over time in historical corpora. The goal is to discover new research questions through exploratory analysis of digitized cultural texts.
From Keyword Searching to Discourse MiningPim Huijnen
This document summarizes a presentation on using dictionary searching to analyze texts, rather than relying on single keyword searches. Dictionary searching involves using predefined word lists or "dictionaries" to identify discourses represented by combinations of words. The presentation describes developing scripts to extract dictionaries from literature and visualize the results of dictionary searches conducted on a large newspaper corpus. Challenges addressed include running complex queries on very large datasets and accounting for variations in the newspaper data over time.
The document describes an analysis of 177 scientific workflows from Taverna and Wings systems. The analysis identified common "motifs" in workflows, including data-oriented motifs characterizing common data activities, and workflow-oriented motifs characterizing how activities are implemented. These motifs could help inform workflow design and the creation of automated tools to generate workflow abstractions, in order to facilitate understanding and reuse of workflows.
The document discusses recommender systems and summarizes:
1) It introduces recommender systems and the different types including knowledge-based, collaborative filtering, and content-based recommendations.
2) It outlines some of the key resources for recommender systems including datasets, conferences, and articles.
3) It provides a high-level overview of common recommender system approaches like collaborative filtering, content-based analysis, and knowledge-based recommendations.
InfoVis1415: slides sessie 3, 23 Feb 2015Erik Duval
This document discusses a lecture on information visualization from February 23, 2015. It covers topics like the visualization pipeline, mapping data to visual properties like size and color, Gestalt principles of perception, and challenges in designing privacy controls. Students are asked to post their slides, write a blog post reflecting on what they learned, and provide a scenario illustrated with a concrete visualization using existing tools for an upcoming class.
The laboratoryandthemarketinee bookchapter10pdf_mergedJeenaDC
This document discusses two modes of scientific knowledge production:
(1) Modus 1 knowledge is produced within established disciplines through deductive reasoning and empirical testing. It aims to build consistent theoretical systems.
(2) Modus 2 knowledge is produced transdisciplinarily to solve practical problems. It is shaped by social and economic factors beyond any single discipline. Knowledge takes the form of narratives that guide practices rather than deductive systems.
The key difference is that Modus 1 seeks fundamental theoretical understanding while Modus 2 focuses on knowledge applicable to real-world problems across disciplinary boundaries. Both make use of models, analogies, and metaphors to give meaning and applicability to formal theories and findings.
The document introduces Topic Maps, which provide a standardized way to represent knowledge. Topic Maps use topics to represent subjects, associations to represent relationships between topics, and occurrences to link topics to information resources. They allow multiple perspectives on knowledge through the use of scopes. Topic Maps can be used to improve access to information through semantic queries and customized views. They also enable easy integration and sharing of information across systems through merging of Topic Maps.
The document discusses cultural text mining workflows and methods. It describes extracting subsets of digitized newspaper text, stripping metadata, and uploading to Voyant for analysis. Topic modeling is used to identify context-specific words by creating word and topic distributions from texts. Interesting keywords from topic modeling outputs can then be used for further exploration of word frequencies and changes over time in historical corpora. The goal is to discover new research questions through exploratory analysis of digitized cultural texts.
From Keyword Searching to Discourse MiningPim Huijnen
This document summarizes a presentation on using dictionary searching to analyze texts, rather than relying on single keyword searches. Dictionary searching involves using predefined word lists or "dictionaries" to identify discourses represented by combinations of words. The presentation describes developing scripts to extract dictionaries from literature and visualize the results of dictionary searches conducted on a large newspaper corpus. Challenges addressed include running complex queries on very large datasets and accounting for variations in the newspaper data over time.
The document describes an analysis of 177 scientific workflows from Taverna and Wings systems. The analysis identified common "motifs" in workflows, including data-oriented motifs characterizing common data activities, and workflow-oriented motifs characterizing how activities are implemented. These motifs could help inform workflow design and the creation of automated tools to generate workflow abstractions, in order to facilitate understanding and reuse of workflows.
The document discusses recommender systems and summarizes:
1) It introduces recommender systems and the different types including knowledge-based, collaborative filtering, and content-based recommendations.
2) It outlines some of the key resources for recommender systems including datasets, conferences, and articles.
3) It provides a high-level overview of common recommender system approaches like collaborative filtering, content-based analysis, and knowledge-based recommendations.
InfoVis1415: slides sessie 3, 23 Feb 2015Erik Duval
This document discusses a lecture on information visualization from February 23, 2015. It covers topics like the visualization pipeline, mapping data to visual properties like size and color, Gestalt principles of perception, and challenges in designing privacy controls. Students are asked to post their slides, write a blog post reflecting on what they learned, and provide a scenario illustrated with a concrete visualization using existing tools for an upcoming class.
The laboratoryandthemarketinee bookchapter10pdf_mergedJeenaDC
This document discusses two modes of scientific knowledge production:
(1) Modus 1 knowledge is produced within established disciplines through deductive reasoning and empirical testing. It aims to build consistent theoretical systems.
(2) Modus 2 knowledge is produced transdisciplinarily to solve practical problems. It is shaped by social and economic factors beyond any single discipline. Knowledge takes the form of narratives that guide practices rather than deductive systems.
The key difference is that Modus 1 seeks fundamental theoretical understanding while Modus 2 focuses on knowledge applicable to real-world problems across disciplinary boundaries. Both make use of models, analogies, and metaphors to give meaning and applicability to formal theories and findings.
The document introduces Topic Maps, which provide a standardized way to represent knowledge. Topic Maps use topics to represent subjects, associations to represent relationships between topics, and occurrences to link topics to information resources. They allow multiple perspectives on knowledge through the use of scopes. Topic Maps can be used to improve access to information through semantic queries and customized views. They also enable easy integration and sharing of information across systems through merging of Topic Maps.
The document discusses the basics of ontologies, including their origin in philosophy, definitions, types, benefits and application areas. Some key points are:
- An ontology is a formal specification of a conceptualization used to help humans and programs share knowledge. It establishes a shared vocabulary for exchanging information.
- Ontologies describe domain knowledge and provide an agreed-upon understanding of a domain through concepts and relations. They help solve problems of ambiguity and enable knowledge sharing.
- Ontologies benefit applications like information retrieval, digital libraries, knowledge engineering and natural language processing by facilitating semantic search and integration of data.
The document discusses the vision of semantic publishing from 2001 and 2017. In 2001, the vision was that scientists would publish machine-readable semantic representations of their experimental results. However, in 2017 semantic publishing challenges focused on extracting semantics from existing papers rather than changing the publishing process. The document advocates for "genuine semantic publishing" where semantic representations are a primary component of published works, are machine interpretable, cover core claims, and are approved by authors. It also discusses related approaches like research objects, executable papers, and nanopublications.
Towards Open Methods: Using Scientific Workflows in LinguisticsRichard Littauer
The document discusses how scientific workflows can be used in linguistics research to automate processing, analysis, and management of linguistic data. Workflows make research more reproducible by documenting methods. They could allow accessing and downloading open linguistic databases. Hypothetical examples show workflows linking text characters to dictionary definitions. Workflows may help standardize part-of-speech tags. Tracking workflows early can help share methods and ensure reproducibility.
Introduction to automated text analyses in the Political SciencesChristianRauh2
This document provides an introduction and overview of automated text analysis methods for political science research. It discusses the promises and pitfalls of automated analysis and outlines some common text analysis approaches, including corpus construction, dictionary-based analysis, text scaling, and briefly touches on topic modeling and machine learning. The document uses debates around climate change at the United Nations as a running example to demonstrate how these various methods can be applied to a research question and corpus of documents. It emphasizes that automated analyses require validation and should augment rather than replace human interpretation of texts.
This document discusses text and data mining (TDM) and provides definitions from 1982, 1999, and 2008 that describe mining as automatically generating logical representations of text passages, the (semi)automated discovery of trends and patterns across large datasets, and the use of automated methods to exploit knowledge in biomedical literature. It also lists different types of content that can be mined, such as images, graphs, tables, datasets, and text, and provides 101 potential uses for content mining, such as finding papers about chemistry in German or papers acknowledging support from the Wellcome Trust.
This document provides a research proposal for a design project exploring the cultural identity of Kuala Lumpur Chinatown. The proposal examines the relationship between permanent and temporary structures in Chinatown through various research methods, including literature review, site mapping, diagramming, model making, and case studies. The goal is to design a performing facility that captures Chinatown's culture by studying how temporary stalls contribute to the area's changing morphology. Insights from this research will inform a design that blends permanent and temporary elements to represent Chinatown's identity.
Study of the Conceptions Related to Learning of Complex Concepts: The Case of the Ecosystem ............................ 1
Lamjed Messoussi, André Giordan and Mohamed Hédi El Aouni
A Comparison of Experimental Designs for Assessment and Research in Higher Education................................... 14
Jack T. Tessier, Nana-Yaw Andoh, Kristin DeForest, Matthew W. Juba, Akira Odani, John J. Padovani, Elizabeth F. Sova,
and Lisa M. Tessier
Designing Teaching Methods in Curriculum of Iran‟s Higher Education based on Development of Social Capital
................................................................................................................................................................................................. 21
Forouzan Tonkaboni, Alireza Yousefy and Narges Keshtiaray
Autocratic and Participative Coaching Styles and Its Effects on Students’ Dance Performance .............................. 32
Desiree B. Castillo, Martina Alexandria V. Balibay, Jhuzel M. Alarcon, Justine M. Picar, Raniel R. Lampitoc, Ma.
Crizandra Baylon
Impact of Teacher-Gender on Primary Students‟ Achievement: A Case Study at Bangladesh Standpoint............. 45
Dr. Kazi Enamul Hoque and Mosa Fatema Zohora
Problem-Based Learning in Construction Engineering within a South African context............................................. 69
Pauline Machika (Dr) and Chris Abrahams
Teaching Competency of Secondary School Teachers In Relation To Emotional Intelligence ................................... 83
Dr. Mandeep Kaur and Mrs. Arti Talwar
Integrated Human Decision Making Platform based on human anatomyManuel Manolache
The platform we're proposing will be the main actor of the upcoming paradigm shift from representative governance to self governance, the architecture, functionality and interface of the platform was modelled after the human anatomy. Human decision making efficiency is dependent upon the governance system of the deciding agents and the roles they play. Aligning the context in which a decision impacting human life/society is made into a natural organic context, as the one governing the cells of the human body and described by the anatomy of the body as a whole and biological algorithms that drive communication and decision making within the cell ecosystem, will increase efficiency and personal satisfaction, provided by the increase of individual expression supported by the self representation organic decision making platform in discussion. A system of this sort, capable of changing the context decisions are made into a more organic and natural one, can be achieved with the help of modern day technology.
Keywords— Integrated Decision Making Platform, Collaborative Decision Making, Participative Organic Governance, Anatomically Correct Decision Making Platform, Online Organic Self Governance
This document provides guidance on searching the Anthropology Plus database to find information on how environmental anthropologists can contribute to discussions about climate change. It outlines how to define search terms, use search features like truncation and phrase searching, and then refine search results by date, source type, and subject. Finally, it explains how to access the full text of relevant journal articles from the search results.
Leading research in technoscience institutttseminar-281010NTNU
The document discusses how anthropology can lead research in technoscience using a phronetic approach. It presents three case studies where the author took on roles like facilitator, ethnographer and IT developer. Through these cases, the author applied concepts from actor-network theory like translation, inscription and punctualization to understand how technologies and organizations shape one another. The cases helped address questions about where developments are going, their desirability and how to inform practice using practical and value-rational approaches like phronesis.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
The document discusses the basics of ontologies, including their origin in philosophy, definitions, types, benefits and application areas. Some key points are:
- An ontology is a formal specification of a conceptualization used to help humans and programs share knowledge. It establishes a shared vocabulary for exchanging information.
- Ontologies describe domain knowledge and provide an agreed-upon understanding of a domain through concepts and relations. They help solve problems of ambiguity and enable knowledge sharing.
- Ontologies benefit applications like information retrieval, digital libraries, knowledge engineering and natural language processing by facilitating semantic search and integration of data.
The document discusses the vision of semantic publishing from 2001 and 2017. In 2001, the vision was that scientists would publish machine-readable semantic representations of their experimental results. However, in 2017 semantic publishing challenges focused on extracting semantics from existing papers rather than changing the publishing process. The document advocates for "genuine semantic publishing" where semantic representations are a primary component of published works, are machine interpretable, cover core claims, and are approved by authors. It also discusses related approaches like research objects, executable papers, and nanopublications.
Towards Open Methods: Using Scientific Workflows in LinguisticsRichard Littauer
The document discusses how scientific workflows can be used in linguistics research to automate processing, analysis, and management of linguistic data. Workflows make research more reproducible by documenting methods. They could allow accessing and downloading open linguistic databases. Hypothetical examples show workflows linking text characters to dictionary definitions. Workflows may help standardize part-of-speech tags. Tracking workflows early can help share methods and ensure reproducibility.
Introduction to automated text analyses in the Political SciencesChristianRauh2
This document provides an introduction and overview of automated text analysis methods for political science research. It discusses the promises and pitfalls of automated analysis and outlines some common text analysis approaches, including corpus construction, dictionary-based analysis, text scaling, and briefly touches on topic modeling and machine learning. The document uses debates around climate change at the United Nations as a running example to demonstrate how these various methods can be applied to a research question and corpus of documents. It emphasizes that automated analyses require validation and should augment rather than replace human interpretation of texts.
This document discusses text and data mining (TDM) and provides definitions from 1982, 1999, and 2008 that describe mining as automatically generating logical representations of text passages, the (semi)automated discovery of trends and patterns across large datasets, and the use of automated methods to exploit knowledge in biomedical literature. It also lists different types of content that can be mined, such as images, graphs, tables, datasets, and text, and provides 101 potential uses for content mining, such as finding papers about chemistry in German or papers acknowledging support from the Wellcome Trust.
This document provides a research proposal for a design project exploring the cultural identity of Kuala Lumpur Chinatown. The proposal examines the relationship between permanent and temporary structures in Chinatown through various research methods, including literature review, site mapping, diagramming, model making, and case studies. The goal is to design a performing facility that captures Chinatown's culture by studying how temporary stalls contribute to the area's changing morphology. Insights from this research will inform a design that blends permanent and temporary elements to represent Chinatown's identity.
Study of the Conceptions Related to Learning of Complex Concepts: The Case of the Ecosystem ............................ 1
Lamjed Messoussi, André Giordan and Mohamed Hédi El Aouni
A Comparison of Experimental Designs for Assessment and Research in Higher Education................................... 14
Jack T. Tessier, Nana-Yaw Andoh, Kristin DeForest, Matthew W. Juba, Akira Odani, John J. Padovani, Elizabeth F. Sova,
and Lisa M. Tessier
Designing Teaching Methods in Curriculum of Iran‟s Higher Education based on Development of Social Capital
................................................................................................................................................................................................. 21
Forouzan Tonkaboni, Alireza Yousefy and Narges Keshtiaray
Autocratic and Participative Coaching Styles and Its Effects on Students’ Dance Performance .............................. 32
Desiree B. Castillo, Martina Alexandria V. Balibay, Jhuzel M. Alarcon, Justine M. Picar, Raniel R. Lampitoc, Ma.
Crizandra Baylon
Impact of Teacher-Gender on Primary Students‟ Achievement: A Case Study at Bangladesh Standpoint............. 45
Dr. Kazi Enamul Hoque and Mosa Fatema Zohora
Problem-Based Learning in Construction Engineering within a South African context............................................. 69
Pauline Machika (Dr) and Chris Abrahams
Teaching Competency of Secondary School Teachers In Relation To Emotional Intelligence ................................... 83
Dr. Mandeep Kaur and Mrs. Arti Talwar
Integrated Human Decision Making Platform based on human anatomyManuel Manolache
The platform we're proposing will be the main actor of the upcoming paradigm shift from representative governance to self governance, the architecture, functionality and interface of the platform was modelled after the human anatomy. Human decision making efficiency is dependent upon the governance system of the deciding agents and the roles they play. Aligning the context in which a decision impacting human life/society is made into a natural organic context, as the one governing the cells of the human body and described by the anatomy of the body as a whole and biological algorithms that drive communication and decision making within the cell ecosystem, will increase efficiency and personal satisfaction, provided by the increase of individual expression supported by the self representation organic decision making platform in discussion. A system of this sort, capable of changing the context decisions are made into a more organic and natural one, can be achieved with the help of modern day technology.
Keywords— Integrated Decision Making Platform, Collaborative Decision Making, Participative Organic Governance, Anatomically Correct Decision Making Platform, Online Organic Self Governance
This document provides guidance on searching the Anthropology Plus database to find information on how environmental anthropologists can contribute to discussions about climate change. It outlines how to define search terms, use search features like truncation and phrase searching, and then refine search results by date, source type, and subject. Finally, it explains how to access the full text of relevant journal articles from the search results.
Leading research in technoscience institutttseminar-281010NTNU
The document discusses how anthropology can lead research in technoscience using a phronetic approach. It presents three case studies where the author took on roles like facilitator, ethnographer and IT developer. Through these cases, the author applied concepts from actor-network theory like translation, inscription and punctualization to understand how technologies and organizations shape one another. The cases helped address questions about where developments are going, their desirability and how to inform practice using practical and value-rational approaches like phronesis.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
3. a) distant reading
In: Het Centrum, 10 October 1919, p. 4.
b) finding the needle
in the hay stack
4. In: Het Volk: Dagblad voor de
arbeiderspartij, 29 January 1921, p. 3.
5. 1 How to define a concept?
Efficiency ≠ “efficiency”
Eugenetica ≠ “eugenetica” +
“eugenetiek” + “eugeniek" + "rassenleer"
2 How to study its changing uses,
contexts, and meaning over time?
5
How to know what to look at?
6. 1 How to define a concept?
Efficiency ≠ “efficiency”
Eugenetica ≠ “eugenetica” +
“eugenetiek” + “eugeniek" + "rassenleer"
2 How to study its changing uses,
contexts, and meaning over time?
6
How to know what to look at?
7. 1) Eugenics
7
* topic modeling newspaper articles containing "eugenics"
* using meaningful words to look for eugenics without
“eugenics”
* in the given example: querying Texcavator with
‘regulation AND health AND race’ (575 results)
8. Texcavator
8
plotting the results on a
time scale (relative to total
number of articles per year)
extracting distinctive words
from query results per year
(tf-idf)
12. 2) Scientific management
12
* using close reading to find all significant Dutch
equivalents for “scientific management"
* extract results, divide them per year and upload them
to Voyant Tools
* study changing vocabulary in the subset over time
13. Scientific management query
13
”wetenschappelijke bedrijfsleiding” (233)
”wetenschappelijke bedrijfsorganisatie” (216)
”wetenschappelijke bedrijfsvoering” (32)
”scientific management” (28)
’taylorstelsel OR taylor-stelsel’ (330)
’taylorsysteem OR taylor-systeem’ (369)
’taylorisme’ (42)
Combined in a single query results in 1175 hits
14.
15.
16.
17. The third way: distributional semantics
17
* Our implementation combines a) creating dictionaries and
b) tracing meaning over time in a single workflow
* by finding ‘most similar words’ (i.e. words with equal vector
values / words with similar meaning in sentences)
* Use cluster of most similar words from ten-year time period
to find most similar words in next (and partly overlapping)
time frame
* Trace word use of concepts over time without being
dependant on single terms or predefined dictionaries