CoderRank: Creating Gold Standards
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Slides from today's presentation in Brussels at LT-Accelerate. The short talk covered the core ideas underpinning a recent patent for a method known colloquially as CoderRank. I focus on the challenge of human annotation, the role of measurement, and the tools we have built, both free/open source and commercial, to make it easier for teams to create gold standard annotation sets quickly and accurately.
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This document provides an acknowledgement and introduction for a project report on working capital management at Bokaro Steel Plant (BSL) in India. It thanks various managers and officials at BSL and the Dean and HOD of the business school for their guidance and support. It includes certificates confirming the project work was conducted under supervision and is original. The index lists contents including an executive summary, introduction to the global and Indian steel industries, information on SAIL and BSL, literature review, research methodology, analysis of working capital, cash, inventory, and receivables management, financial statements, sales process flowchart, conclusions, and suggestions.
DiscoverText Product Overview
This document introduces Texifter tools and methods for analyzing large amounts of structured and unstructured text. [1] The tools help users discover information to streamline processes, increase ROI, and identify trends. [2] The main tool is DiscoverText, a cloud-based platform that moves users from data to insights through human and machine collaboration. [3] The tools help analysts better organize, access, and extract valid insights from data through a combination of human judgment and computer algorithms.
Supermarket Dietitian Recommended Reading List
The document is a resource list compiled by Barbara Ruhs, a supermarket dietitian, containing recommended books, publications, research articles, and other resources related to nutrition and the supermarket industry. It includes lists of books on topics like food marketing and consumer behavior. Sections also provide lists of publications, nutrition labeling systems, store tour materials, industry organizations, and social media resources. The document aims to be a comprehensive guide for those in the supermarket industry.
Country Report
Mangrove Management Centre Region II is responsible for managing mangrove forests in their region, including formulating plans and programs, monitoring the forests, and developing institutions. They have several departments and over 30 staff members. Indonesia has the largest area of mangroves in the world, but many are threatened by conversion to aquaculture or agriculture. The main problems are land conversion and exploitation, which the organization aims to address through community education programs about mangrove conservation and cultivation techniques.
Autism
- Autism is diagnosed before age 3 based on behaviors including social and communication impairments and repetitive behaviors. The exact causes are unknown but likely involve genetic and environmental factors.
- People with autism often struggle with social development, communication, and repetitive or restrictive behaviors. They may have difficulties with tasks like interpreting emotions, maintaining relationships, and adapting to changes.
- Autism is a spectrum disorder with a wide range of symptoms and challenges. Individuals and their families face stigma, a lack of support services, and barriers to education, employment and community integration. Advocacy aims to promote acceptance and opportunities for people with autism to reach their full potential.
Communication strategy for NonProfits Sept 15, 2011
This presentation was made to the Hayward NonProfit Alliance on September 15, 2011. The topics covered include Social Media Strategy, communicatio
How network management system work
SNMP, UPS, WAP, and MIB are key components of network management systems. SNMP is an Internet standard protocol for managing devices on IP networks like routers, switches, and servers. UPS provides emergency power when utility mains fail and range from small units for a single computer to large systems for data centers. WAP is an open standard for web browsing on mobile devices, while MIB is a virtual database used for managing network entities, most often with SNMP.
Perfecting The Supermarket Food Demo
A practical guide to planning and hosting in-store food demonstrations.
Published in December 2015 issue of Today's Dietitian Magazine.
Creating a college support team
This document provides guidance on creating a college support team to help students achieve their academic goals. It recommends that freshmen orient themselves to campus, set goals, take placement tests, register for classes, and utilize tutoring and office hours. It also stresses the importance of identifying one's values and natural skills through aptitude tests to guide goal-setting. Once goals are set, students should build a network of support by identifying people both within and outside of the college community who can help, such as parents, friends, faculty, staff, tutors, student groups, alumni, and community organizations. Creating an effective support system is key to success, but students must also work to help others establish their own support systems to help the community
Let’s make learning fun2!
This document discusses the system requirements and resources for the Funschool.com educational website. It provides activities for students in grades K-6 that allow interactive learning in subjects like math, science, reading, and social studies. The website teaches recycling and environmental issues through games. It also features teacher and parent resources to make learning fun for young students.
Creating a college support team
This document provides guidance on creating a college support team to help students achieve their academic goals. It recommends that freshmen orient themselves to campus, set goals, take placement tests, register for classes, and utilize tutoring and office hours. It also stresses the importance of identifying one's values and natural skills through aptitude tests to guide goal-setting. Once goals are set, students should build a network of support by identifying people both within and outside of the college community who can help, such as parents, friends, faculty, staff, tutors, student groups, alumni, and community organizations. Creating an effective support system is key to success, but students must also work to help others establish their own support systems to help the community
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1) Copydan is an umbrella organization representing six collective societies in Denmark, including Copydan Writing which represents authors, journalists, and publishers.
2) Copydan Writing licenses educational institutions and businesses to make copies of published works and pays individual remuneration to authors and publishers annually based on reports of copies made.
3) Denmark uses an extended collective licensing system that allows collective societies to license uses of both represented and non-represented works, simplifying administration and access.
Seed folks powerpoint 2
A community garden in Cleveland, Ohio brings together a diverse group of neighbors as each contributes to transforming a trash-filled vacant lot. Told from different perspectives, the story shows how the garden helps the community get to know each other better and promotes tolerance between all.
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This document summarizes a presentation by Dr. Stuart Shulman on using humans and machines together to analyze text. It discusses the challenges of classifying and labeling large amounts of text data, and validating both human coders and machine learning models. The presentation proposes using an open-source software called CAT that allows crowdsourcing text annotation and leveraging a technique called CoderRank to enhance machine learning by privileging input from more reliable human coders. The goal is to have humans and machines work together iteratively to improve automated text analysis and address issues like detecting fake news.
Sifting Social Data: Word Sense Disambiguation Using Machine Learning
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This document provides an overview of text analytics tools and methods. It discusses how text analytics can help users streamline processes, increase ROI, and identify trends. The core methods include coding and classifying text data through an iterative process that relies on both humans and machines. Five essential tools are highlighted: search, filtering on metadata, human coding, automated clustering, and machine classification. Examples are given around social media analysis and studying media campaign effects.
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This document discusses perspectives on artificial intelligence (AI) from technology leaders and experts. It summarizes views that AI will benefit humanity by helping to solve major challenges, but could also pose existential risks if not developed responsibly. The document also outlines how AI is rapidly advancing and transforming industries like automotive, healthcare, and personal assistance. While AI may displace some jobs, it could also create new types of work. Overall the document expresses an optimistic view of AI's potential if issues around ethics, safety, and economic impacts are adequately addressed.
Copy of getting into ai event slides (PDF)
1) The document discusses key principles of AI discussed at a conference: AI should enhance rather than replace humans, be transparent to build trust, and consider social impact.
2) Speakers addressed topics like the future of creativity, business, jobs, and education with AI, and that humans and computers together can better solve problems.
3) To be a data scientist requires skills like asking questions, experimenting, understanding failure, passion for a sector, and enjoying learning.
Machine Learning: Understanding the Invisible Force Changing Our World
This document discusses the rise of machine learning and artificial intelligence. It provides quotes from industry leaders about the potential for AI to improve lives and build a better society. The text then explains what machine learning is, how it works through supervised, unsupervised and reinforcement learning, and some of the business applications of AI like product recommendations, fraud detection and machine translation. It also discusses the increasing investment in and priority placed on AI by companies, governments and researchers. The document encourages readers to consider the ethical implications of AI and ensure it is developed and applied in a way that benefits all of humanity.
AI and the Professions: Past, Present and Future
A presentation to the National Conference of Lawyers and CPA’s - December 11, 2017. Describes the history of AI, explains why the legal and accounting professions are at a turning point, and predicts changes in the professions from AI adoption.
Analytic Law, LLC helps law firms and departments discover how to solve legal problems using analytic techniques, including data analytics, prediction systems, machine learning, game theory and behavioral economics.
Salesforce - AI for CRM
Artificial intelligence (AI) is driven by advances in computing power, data storage, and algorithms. It will be more disruptive than previous technological shifts. AI techniques like machine learning, deep learning, and natural language processing are making platforms and systems smart enough to learn from data and interactions to anticipate needs and automate tasks. Consumers are already using AI without realizing it through apps from Google, Facebook, Amazon, and self-driving cars. This raises expectations for smart, seamless customer experiences from businesses. The e-book will explore how companies can take advantage of AI for sales, customer service, marketing, and other business functions.
AI for CRM e-book
Artificial intelligence (AI) is becoming a reality due to advances in three key areas: data models, data availability, and processing power. AI is present in many consumer apps through machine learning techniques. For businesses, AI can help address challenges around data silos, lack of data expertise, infrastructure constraints, and lack of context for AI. By connecting all customer data into a single view and using AI tools that anticipate needs, businesses can close the gap between intelligence and customer experience.
Human, AI collaboration, Accenture
Great report from Accenture. AI and ML are shaping human capabilities to ensure a better human/machine collaboration. This is how CEOs and CIOs should look at talent to take fully advantage of the new technologies.
Scholarly Publishing in an AI World
AI is already beginning to change the way every industry in the world works including scholarly publishing. What is AI, how will researcher behavior change because of it, and what opportunities and risks are just around the corner for publishers, societies, and institutions?
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This document discusses Microsoft's efforts in artificial intelligence and machine learning. It provides context on the current state of AI, highlighting how machine learning has progressed from addressing specific tasks to becoming more general. It outlines Microsoft's investments in AI, including forming a new 5,000-person division and making AI pervasive across its products. The document also discusses challenges around developing machine learning programs and ensuring AI is developed in a responsible, trustworthy manner.
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This document discusses the development of artificial intelligence and perspectives on its impact. It provides quotes from experts expressing both optimism and pessimism about AI's development. It also summarizes the advancement of AI technologies like deep learning and self-driving cars. Additionally, it profiles three major AI research institutes and their focus on areas such as machine learning, robotics, and developing open platforms for industry and academic collaboration. In summary, the document outlines the progress and challenges of AI, as well as perspectives on both its risks and opportunities.
Webinar on AI in IoT applications KCG Connect Alumni Digital Series by Rajkumar
The Artificial Intelligence in IoT Applications. Take your first step towards a bright future with our renowned alumnus,
Prof R. Raj Kumar on AI for IoT Applications.
He is an award wining author of the book, ‘India 2030’.
To get access to the webinar kindly contact your respective department heads.
Looking forward to having you on the webinar.
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#KCGCollege #KCGStudentlife #KCGConnect #Education #EmergingTechnologies #ArtificialIntelligence #IoT #MachineLearning #BlockChain #ElectricVehicle #QuantumTechnology #CAD
OA Introduction to AI from Object Automation
Object Automation Software Solutions Pvt Ltd in collaboration with SRM Ramapuram delivered Workshop for Skill Development on Artificial Intelligence.
Introduction to AI by Mr.Vaibhav Raja, Research Scholar from Object Automation.
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This document discusses artificial intelligence (AI) and provides several quotes about AI from experts such as Stephen Hawking, Ray Kurzweil, Elon Musk, and others. It then summarizes the history of AI and key developments that led to the current "third AI boom". These include advances in machine learning, deep learning, self-driving cars, smart assistants, and more. The document also discusses challenges for AI such as the need for AI systems to interact and react, as well as the impact of AI on jobs and the need for reskilling workers.Principles of Artificial Intelligence & Machine Learning
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as “deep learning” and “cognitive computing”
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn’s reach and reputation with respect to this new frontier, I’m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I’d love to hear what you think. If you found this post or the deck useful, please recommend them to your friends and colleagues!
Qual, Mixed, Machine and Everything in Between
1) The document discusses qualitative research methods and computer-assisted qualitative data analysis software. It explores the researcher's background and experience with both qualitative and mixed methods approaches.
2) It describes both traditional and newer computer software for qualitative data analysis, noting both benefits like organization and efficiency, as well as concerns around over-reliance on software.
3) Collaboration, measurement, human and machine learning are discussed. Iterative processes of human coding and machine learning are emphasized to improve classification over time.
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This document provides an introduction to data science and machine learning concepts. It discusses data analytics, machine learning, artificial intelligence, and deep learning. It introduces popular tools for data analytics like Python, Jupyter Notebook, R, and SAS. It also discusses key platforms in data science like Kaggle and DataScientists.net that host data science competitions and allow users to work on real-world datasets. The document provides examples of data analytics applications in different industries like media, healthcare, finance, and manufacturing. It also discusses concepts related to big data like the four V's of big data - volume, velocity, variety and veracity.
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This document discusses research on analyzing political fear in social media. It describes developing methods to collect tweets expressing first-person fear about American politics. Different search rules were tested on the Gnip PowerTrack API to gather relevant tweets. The tweets were deduplicated and coded for analysis. Inter-coder reliability was checked on samples, finding Fleiss' kappa between 0.76-0.91. Coder validity was also evaluated. The document proposes the concept of "CoderRank" where some coders are highly skilled while most are average and some produce poor work. It aims to better understand patterns of human aptitude for annotation tasks.
Fear and Loathing on the Social Campaign Trail
This document discusses research on analyzing political fear in social media. It describes developing methods to collect tweets expressing first-person fear about American politics. Different search rules were tested on the Gnip PowerTrack API to gather relevant tweets. The tweets were then coded for analysis. Inter-coder reliability was checked on samples, finding Fleiss' kappa between 0.76-0.91. Coder validity was also evaluated. The document introduces the concept of "CoderRank" which suggests a range of human aptitude for annotation tasks, with a small number performing best and a larger number performing worst.
Texifter Presentation at Boston New Technology’s #BNT77 Startup Showcase!
Texifter is a cloud-based text analytics platform founded in 2009. It provides tools for collaborative text analysis of social media, survey, and government data. The platform uses machine learning algorithms and crowdsourced human coding to extract insights from unstructured text data. Texifter's current customers include market research, HR, government, and legal organizations addressing medium-sized text analytics problems.
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Presentation slides from a May 15, 2015 workshop at the Computational Social Science Summit, held at North
Twitter for Research
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CAT & DiscoverText have helped qualitative methodology by providing free and open source software options as well as web-based collaborative tools. They have also contributed innovations in measurement, free and premium social data collection methods, advanced search and filtering capabilities, clustering algorithms, and custom machine learning classifiers. Stuart Shulman founded Texifter to develop these types of tools to enhance qualitative analysis through features like word sense disambiguation and CoderRank for improved machine learning over time through iterative human coding.
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Slides delivered as a part of #CAQDAS14.
In 1989 the Department of Sociology at the University of Surrey convened the world's first conference on qualitative software, which brought together qualitative methodologists and software developers who debated the pros and cons of the use of technology for qualitative data analysis. The result was a book (Fielding & Lee (1991) Using Computers in Qualitative Research, Sage Publications), the setting-up of the CAQDAS Networking Project and many other conferences concerning the topics over the years.
This conference will be another opportunity for methodologists, developers and researchers to come together and debate the issues.There will be keynote papers by leading experts in the field, software support clinics and opportunities to present work in progress.
http://www.surrey.ac.uk/sociology/files/Programme%20.pdf
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This document provides an overview of text analytics tools and techniques. It discusses the five pillars of text analytics: search, filter, code, cluster, and classify. It also describes the open-source tool DiscoverText and how it can be used to perform tasks like searching Twitter data, having humans code tweets, creating topic models via clustering, and training machine learning classifiers to classify texts. The document emphasizes that validation of models and iterative refinement is important when performing computational analysis of text data.
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http://live.worldbank.org/citizen-voices-conference-webcast-and-live-blog
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Step-by-step instructions on how to upload bulk email collections to DiscoverText for eDiscovery, search, and custom machine classification.
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Texifter is a text analytics platform that can help organizations analyze open-ended comments from employee surveys. It uses machine learning to discover important insights and trends that are often missed in spreadsheets. While initially focused on HR analytics, Texifter's technology can also help with market research, customer service, and other areas. The company is seeking funding to expand its sales and product capabilities as it sees opportunities in both HR and consumer analytics markets.
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Dr. Stuart Shulman gave a presentation on the future of text analysis. He discussed how text analysis tools will enable quicker processing and more accurate results through features like advanced search, metadata tagging, and active machine learning. Projects will leverage user credentials to control access and allow for shared analysis across distributed teams. Text from various sources will be imported into a unified repository for eDiscovery and search. DiscoverText was introduced as a tool that incorporates these capabilities.
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To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
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✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
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✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
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✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
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Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
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原版一模一样【微信：741003700 】【美国纽约州立大学奥尔巴尼分校毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
Vitthal Shirke Java Microservices Resume.pdf
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
APIs for Browser Automation (MoT Meetup 2024)
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Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...
A dynamic process unfolds in the intricate realm of software development, dedicated to crafting and sustaining products that effortlessly address user needs. Amidst vital stages like market analysis and requirement assessments, the heart of software development lies in the meticulous creation and upkeep of source code. Code alterations are inherent, challenging code quality, particularly under stringent deadlines.
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Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
OpenMetadata Community Meeting - 5th June 2024
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
What is Augmented Reality Image Tracking
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
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CoderRank: Creating Gold Standards
- 1. CoderRank: Creating Gold Standards Dr. Stuart W. Shulman Founder & CEO, Texifter @stuartwshulman “…a wealth of information creates a poverty of attention.” - Herbert Simon, 1971
- 2. Text Classification A 2500 year-old problem Plato argued it would be frustrating. It still is.
- 3. Grimmer & Stewart “Text as Data” Political Analysis (2013) Volume is a problem for scholars Coders are expensive Groups struggle to accurately label text at scale Validation of both humans and machines is “essential” Some models are easier to validate than others All models are wrong Automated models enhance/amplify, but don’t replace humans There is no one right way to do this “Validate, validate, validate” “What should be avoided then, is the blind use of any method without a validation step.”
- 4. Free, Open-Source, Web-based Text Analytics Toolkit
- 5. Original Software Kernel: Tools for Measurement
- 6. Avoid Tennis Elbow Items load to the screen and the coder hits the keystroke
- 7. Keystroke Human Coding Human coding can be distributed to individuals, groups & crowds
- 8. Computer Science & National Science Foundation: Measure Everything How fast? How reliable? How accurate?
- 10. Interrater Reliability: A Critical Measurement
- 11. Adjudication
- 12. CoderRank for enhanced machine-learning is our key innovation Patent issued March 1, 2016
- 13. CoderRank for Enhanced Machine-learning CoderRank is to text analytics what PageRank was to search. Just as Google said not all web pages are created equal, Texifter argues that not all humans are created equal. When training machines, it is best to rely most on the humans most likely to create a valid observation. We proposed a unique way to rank humans on trust and knowledge vectors.
- 14. ActiveLearning engines and human coding tools combine… what humans do best… with what computers do best. Humans and machines learning together It is always good to keep humans “in-the-loop”
- 15. Word sense disambiguation (relevance)
- 16. Word sense disambiguation (relevance)
- 17. Word sense disambiguation (relevance)
- 18. Word sense disambiguation (relevance)
- 20. Human coding converts into machine classifiers Accumulated human coding becomes training data via machine-learning
- 21. Crowdsourcing accelerates the insight generation Distribute coding for synchronous & asynchronous collaboration