This document discusses techniques for analyzing social interactions and meaning, including Latent Semantic Analysis (LSA), Social Network Analysis (SNA), and Meaningful Interaction Analysis (MIA). LSA uses a vector space model to represent the meanings of words and passages. SNA analyzes relationships between actors in a network. MIA combines LSA and SNA to investigate associative closeness structures and social relations in latent semantic spaces. The document provides examples of applying these techniques and outlines their potential for future analysis of practices.
Today there is vast amount of information present on the internet. There are a number of news media, blogs, social networks like Facebook, Google Plus etc. and microblogs such as Twitter that provide information to the user who is trying to extract some specific knowledge from the world wide web. Thus the user gets burdened with large amount of data which makes it difficult for the user to find the desired information. In this seminar report, we discuss the various techniques that are used to represent data in a more meaningful manner to counter the problem of Information Overload. We focus primarily on various algorithms used for Storyline Generation which is a technique to capture the underlying temporal and casual dependencies amongst the news events.
NLP in a Bank: Automated Document Reading: Yevgen Kolesnyk / Patrik Zatko / D...Vienna Data Science Group
Despite the fast pace of digitalization happening in the modern world, core processes in the banking area are still based on printed documents to a large extent. Document processing, therefore, consumes a significant amount of manpower and processing time, as well as an increasing operating risk level of the bank by being prone to human errors. In this session, you will learn how automated document processing can create a great opportunity to modernize and simplify the way modern banks work, reduce associated operation risk level, as well as reduce time and costs spent within a given process area.
Today there is vast amount of information present on the internet. There are a number of news media, blogs, social networks like Facebook, Google Plus etc. and microblogs such as Twitter that provide information to the user who is trying to extract some specific knowledge from the world wide web. Thus the user gets burdened with large amount of data which makes it difficult for the user to find the desired information. In this seminar report, we discuss the various techniques that are used to represent data in a more meaningful manner to counter the problem of Information Overload. We focus primarily on various algorithms used for Storyline Generation which is a technique to capture the underlying temporal and casual dependencies amongst the news events.
NLP in a Bank: Automated Document Reading: Yevgen Kolesnyk / Patrik Zatko / D...Vienna Data Science Group
Despite the fast pace of digitalization happening in the modern world, core processes in the banking area are still based on printed documents to a large extent. Document processing, therefore, consumes a significant amount of manpower and processing time, as well as an increasing operating risk level of the bank by being prone to human errors. In this session, you will learn how automated document processing can create a great opportunity to modernize and simplify the way modern banks work, reduce associated operation risk level, as well as reduce time and costs spent within a given process area.
Smart Service DesignThe design of smart services in the world of people, pro...Shaun West
You should read this if:
... you want to understand how digital can enable new value propositions for your business
... you want to gain inspiration from real industrial cases
... you want to create a family of smart twin to help your business.
The handbook‘s purpose is to formalize the lessons learnt from an Innosuisse- funded project where over twenty different Digital Twin-based use cases were developed in collaboration between ten partners. During the project, we learnt many things: the Digital Twins helped us create new innovative smart services, formalize tacit knowledge, and improve decision-making. Perhaps most important was that the design of the Digital Twin was best achieved based on (business) questions. The Digital Twin enables the development of Smart Services within complex systems. For this reason, we called the project Smart Twins – not because of the incredible technology but because of the services they supported. The handbook includes sections describing innovation processes for Smart Services, the prototyping phases, and Digital Twin based business models. The handbook also provides hands-on descriptions on how to use methods, tools, and approaches while working on a project focusing on the development of Smart Services. The handbook focuses on complex product-service systems (PSS) composed of people, processes, and things. Product-service systems are all around us, and they are used on a day-to-day basis, e.g., smartphones; they consist of tangible products and many services. Some of the services are more visible than others, remembering that there cannot be (smart) products without a service of some description. Product-service systems can be complex, and with digitalization, complexity increases distinctly. Depending on perspectives, the focus can be on efficiency or out- comes. Considering such product-service systems, it is evident that boundaries are cross-functional and cross-organizational.
Dynamic Semantics for the Internet of Things PayamBarnaghi
Ontology Summit 2015 : Track A Session - Ontology Integration in the Internet of Things - Thu 2015-02-05,
http://ontolog-02.cim3.net/wiki/ConferenceCall_2015_02_05
Guest lecture for
Course: Front Lines on Adoption of Digital and AI-based Service Offerings
Course URL: https://www.nhh.no/en/courses/front-lines-on-adoption-of-digital-and-ai-based-services/
Prof Tor Andreassen LI URL: https://www.linkedin.com/in/tor-wallin-andreassen-1aa9031/
Presentación utilizada por por Anxo Sanchez (@anxosan) en la segunda sesión del Curso de Introducción a los Sistemas organizado por la Fundacion Sicomoro y Complejimad
BDW16 London - Chris von Csefalvay, Helioserv - Cats and What They Tell us Ab...Big Data Week
The Internet of Things is the biggest challenge Big Data has ever faced. For the first time in history, inexpensive connected devices with sensors are available that generate vast amounts of data in seconds. What does it mean for data science that my cat generates gigabytes of data every few hours? Clearly the emergence of IoT technologies will change Big Data as we know it, quite possibly beyond recognition. I will outline three ways in which the IoT explosion will change how we work, three assumptions about data it has irrevocably challenged and three ways we can not merely cope but thrive within this unprecedented expansion of data volumes, velocity and variety (and cats).
Performance Augmentation (Keynote, SIG LT, XR4ALL)fridolin.wild
presented at the first meeting of the XR4ALL SIG 'AR/VR for Learning and Training' (http://xr4all.eu/vrar-learning-training/), see event: http://xr4all.eu/event/webinar-on-xr-for-learning-and-training/
Professional TEL 4.0: Performance Augmentation for Industry 4.0 fridolin.wild
Industry 4.0 is on the rise and this coordinated push for automation, big data, and internet-of-things in the smart factory is already causing (and will continue to) disruption in the job market. New skills for 'new collar' jobs are needed and intelligent assistance systems with Augmented Reality, Smart Glasses, and other forms of wearable computing may help to deliver them.
In this talk, Dr. Wild will introduce to the concept of Performance Augmentation and illustrate how challenges for the future can be met at the hand of several examples of intelligent training and live guidance applications in aircraft maintenance, space assembly, and medical diagnostics.
Smart Service DesignThe design of smart services in the world of people, pro...Shaun West
You should read this if:
... you want to understand how digital can enable new value propositions for your business
... you want to gain inspiration from real industrial cases
... you want to create a family of smart twin to help your business.
The handbook‘s purpose is to formalize the lessons learnt from an Innosuisse- funded project where over twenty different Digital Twin-based use cases were developed in collaboration between ten partners. During the project, we learnt many things: the Digital Twins helped us create new innovative smart services, formalize tacit knowledge, and improve decision-making. Perhaps most important was that the design of the Digital Twin was best achieved based on (business) questions. The Digital Twin enables the development of Smart Services within complex systems. For this reason, we called the project Smart Twins – not because of the incredible technology but because of the services they supported. The handbook includes sections describing innovation processes for Smart Services, the prototyping phases, and Digital Twin based business models. The handbook also provides hands-on descriptions on how to use methods, tools, and approaches while working on a project focusing on the development of Smart Services. The handbook focuses on complex product-service systems (PSS) composed of people, processes, and things. Product-service systems are all around us, and they are used on a day-to-day basis, e.g., smartphones; they consist of tangible products and many services. Some of the services are more visible than others, remembering that there cannot be (smart) products without a service of some description. Product-service systems can be complex, and with digitalization, complexity increases distinctly. Depending on perspectives, the focus can be on efficiency or out- comes. Considering such product-service systems, it is evident that boundaries are cross-functional and cross-organizational.
Dynamic Semantics for the Internet of Things PayamBarnaghi
Ontology Summit 2015 : Track A Session - Ontology Integration in the Internet of Things - Thu 2015-02-05,
http://ontolog-02.cim3.net/wiki/ConferenceCall_2015_02_05
Guest lecture for
Course: Front Lines on Adoption of Digital and AI-based Service Offerings
Course URL: https://www.nhh.no/en/courses/front-lines-on-adoption-of-digital-and-ai-based-services/
Prof Tor Andreassen LI URL: https://www.linkedin.com/in/tor-wallin-andreassen-1aa9031/
Presentación utilizada por por Anxo Sanchez (@anxosan) en la segunda sesión del Curso de Introducción a los Sistemas organizado por la Fundacion Sicomoro y Complejimad
BDW16 London - Chris von Csefalvay, Helioserv - Cats and What They Tell us Ab...Big Data Week
The Internet of Things is the biggest challenge Big Data has ever faced. For the first time in history, inexpensive connected devices with sensors are available that generate vast amounts of data in seconds. What does it mean for data science that my cat generates gigabytes of data every few hours? Clearly the emergence of IoT technologies will change Big Data as we know it, quite possibly beyond recognition. I will outline three ways in which the IoT explosion will change how we work, three assumptions about data it has irrevocably challenged and three ways we can not merely cope but thrive within this unprecedented expansion of data volumes, velocity and variety (and cats).
Performance Augmentation (Keynote, SIG LT, XR4ALL)fridolin.wild
presented at the first meeting of the XR4ALL SIG 'AR/VR for Learning and Training' (http://xr4all.eu/vrar-learning-training/), see event: http://xr4all.eu/event/webinar-on-xr-for-learning-and-training/
Professional TEL 4.0: Performance Augmentation for Industry 4.0 fridolin.wild
Industry 4.0 is on the rise and this coordinated push for automation, big data, and internet-of-things in the smart factory is already causing (and will continue to) disruption in the job market. New skills for 'new collar' jobs are needed and intelligent assistance systems with Augmented Reality, Smart Glasses, and other forms of wearable computing may help to deliver them.
In this talk, Dr. Wild will introduce to the concept of Performance Augmentation and illustrate how challenges for the future can be met at the hand of several examples of intelligent training and live guidance applications in aircraft maintenance, space assembly, and medical diagnostics.
What if we could change reality and augment it with fantasy? Much of the magic of my childhood can be done by you and me today - using technology. In this talk, I show a few examples of magic, ghosts, and other techno tricks. Short version of a lecture given at the Sunday Assembly Oxford on April 12, 2015.
Presentation on interoperability models for activities and unified reference spaces ('workplaces') given at the Augmented World Expo 2014 in Santa Clara, US.†
Natural Language Processing in R (rNLP)fridolin.wild
The introductory slides of a workshop given to the doctoral school at the Institute of Business Informatics of the Goethe University Frankfurt. The tutorials are available on http://crunch.kmi.open.ac.uk/w/index.php/Tutorials
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
4. <4>
what is
Information
Meaning could be the
quality of a certain signal.
Meaning could be a
logical abstractor = a release mechanism.
(96dpi)
meaning
5. <5>
meaning
is social
Network effects make a network of
shared understandings more
valuable with growing size:
allowing e.g. ‘distributed cognition’.
To develop a shared understanding
is a natural and necessary process,
because language underspecifies
meaning: future understanding
builds on it
At same time: linguistic relativity
(Sapir-Whorf hypothesis): our own
language culture restricts our thinking
7. <7>
Concepts & Competence
things we can (not) construct from language
Tying shoelaces
Douglas Adams’
‘meaning of liff’:
Epping: The futile
movements of forefingers
and eyebrows used when
failing to attract the attention
of waiters and barmen.
Shoeburyness: The vague
uncomfortable feeling you
get when sitting on a seat
which is still warm from
somebody else's bottom
I have been
convincingly
Sapir-Whorfed
by this book.
10. <10>
Latent Semantic Analysis Two-Mode factor
analysis of the co-
occurrences in the
terminology
Results in a latent-
semantic vector
space
“Humans learn word meanings and how to
combine them into passage meaning
through experience with ~paragraph
unitized verbal environments.”
“They don’t remember all the separate
words of a passage; they remember
its overall gist or meaning.”
“LSA learns by ‘reading’ ~paragraph unitized
texts that represent the environment.”
“It doesn’t remember all the separate words
of a text it; it remembers
its overall gist or meaning.”
-- Landauer, 2007
14. <14>
Example: Classic Landauer
{ M } =
Deerwester, Dumais, Furnas, Landauer, and Harshman (1990):
Indexing by Latent Semantic Analysis, In: Journal of the American
Society for Information Science, 41(6):391-407
Only the red terms appear in more
than one document, so strip the rest.
term = feature
vocabulary = ordered set of features
TEXTMATRIX
16. <16>
doc2doc - similarities
Unreduced = pure vector
space model
- Based on M = TSD’
- Pearson Correlation
over document vectors
reduced
- based on M2 = TS2D’
- Pearson Correlation
over document vectors
18. <18>
Social Network Analysis
Existing for a long time (term coined 1954)
Basic idea:
Actors and Relationships between them (e.g.
Interactions)
Actors can be people (groups, media, tags, …)
Actors and Ties form a Graph (edges and nodes)
Within that graph, certain structures can be
investigated
• Betweenness, Degree of Centrality, Density, Cohesion
• Structural Patterns can be identified (e.g. the Troll)
21. <21>
Measuring Techniques (Sample)
Degree Centrality
number of (in/out) connections to others
Closeness
how close to all others
Betweenness
how often intermediary
Components
e.g. kmeans cluster (k=3)
25. <25>
Meaningful Interaction
Analysis (MIA)
Combines latent semantics
with the means of network analysis
Allows for investigating associative
closeness structures at the same time
as social relations
In latent-semantic spaces only
or in spaces with additional
and different (!) relations
27. <27>
Contextualised Doc & Term Vectors
Tk = left-hand sided matrix
= ‚term loadings‘ on the singular value
Dk = right-hand sided matrix
= ‚document loadings‘ on the singular value
Multiply them into same space
VT = Tk Sk
VD = Dk
T
Sk
Cosine Closeness Matrix over
... = adjacency matrix
= a graph
More: e.g. add author vectors VA
through cluster centroids or
vector addition of their publication vectors
latent-semantic space
DT VV ∪
ADT VVV ∪∪
Speed: use existing space and
fold in e.g. author vectors
43. <43>
Conclusion
Both LSA and SNA alone are not
sufficient for a modern
representation theory
MIA provides one possible
bridge between them
It is a powerful technique
And it is simple to use (in R)