REPUBLICA BOLIVARIANA DE VENEZUELA
UNIVERSIDAD FERMIN TORO
ESCUELA DE RELACIONES INDUSTRIALES
CATEDRA SOCIOLOGIA Y ANTROPOLOGIA DEL TRABAJO
PARTICIPANTE: ROSA GONZALEZ
CEDULA 6427028
Hay vida más allá de PowerPoint. Mejora la imagen global de tu empresa y la forma en la que te ven tus clientes utilizando estas sencillas herramientas y recursos. ¡No hace falta ser un profesional del diseño para utilizarlos!
REPUBLICA BOLIVARIANA DE VENEZUELA
UNIVERSIDAD FERMIN TORO
ESCUELA DE RELACIONES INDUSTRIALES
CATEDRA SOCIOLOGIA Y ANTROPOLOGIA DEL TRABAJO
PARTICIPANTE: ROSA GONZALEZ
CEDULA 6427028
Hay vida más allá de PowerPoint. Mejora la imagen global de tu empresa y la forma en la que te ven tus clientes utilizando estas sencillas herramientas y recursos. ¡No hace falta ser un profesional del diseño para utilizarlos!
Formulation and Drug Release of Isoxsuprine HCL Enteric Coated TabletsINFOGAIN PUBLICATION
The aim of the study is to formulate and evaluate enteric coated tablets using Isoxsuprine Hydrochloride as a model drug. Different core tablets and enteric coated tablets were prepared and drug release was studied. Isoxsuprine Hydrochloride core tablets were prepared by wet granulation method, using polymers, by changing drug ratios. The granules are evaluated for physical properties and the in-vitro drug release studies. Enteric coating was carried out using different sub coating materials. Enteric coating was performed in a mini coating pan at 107 rpm using low-pressure air atomized liquid spray technique. By changing the coating material, were done single coated, Double coated tablets are evaluated for uniformity hardness, friability, invitro disintegration and dissolution studies. The in-vitro drug release data was fitted into various kinetic models. All the formulations showed the values within the prescribed limit. It was observed that the higher rate and drug release was observed for the double coated tablets, this is because second layer having high viscosity.
Dr Sue Black, OBE
“If I can do it, so can you” is the inspiring and motivating story of one woman’s determination to succeed.
Twenty-five years ago Dr Sue Black was a single parent with three small children living on a council estate in Brixton. She is now one of the top 50 women in tech in Europe, has an OBE and has just been appointed to the Government Advisory body shaping digital services.
Sue talks about how she brought her family out of poverty and built a successful career through education, passion and a determination to succeed.
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWSijistjournal
Opinions Play important role in the process of knowledge discovery or information retrieval and can be considered as a sub discipline of Data Mining. A major interest has been received towards the automatic extraction of human opinions from web documents. The sole purpose of Sentiment Analysis is to facilitate online consumers in decision making process of purchasing new products. Opinion Mining deals with searching of sentiments that are expressed by Individuals through on-line reviews,surveys, feedback,personal blogs etc. With the vast increase in the utilization of Internet in today's era a similar increase has been seen in the use of blog's,reviews etc. The person who actually uses these reviews or blog's is mostly a consumer or a manufacturer. As most of the customers of the world are buying & selling product on-line so it becomes company's responsibility to make their product updated. In the current scenario companies are taking product reviews from the customers and on the basis of product reviews they are able to know in which they are lacking or strong this can be accomplished with the help of sentiment analysis. Therefore Our objective of our research is to build a tool which can automatically extract opinion words and find out their polarity by using dictionary,This actually reduces the manual effort of reading these reviews and to evaluate them. The research also illustrates the benefits of using Unstructured text instead of training data which expensive . In this research effort we demonstrate a method which is based on rules where product reviews are extracted from review containing sites and analysis is done, so that a person may know whether a particular product review is positive or negative or neutral. The system will utilize a existing knowledge base for calculate positive and negative scores and on the basis of that decide whether a product is recommended or not. The system will evaluate the utility of Lexical resources over the training data.
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWSijistjournal
Opinions Play important role in the process of knowledge discovery or information retrieval and can be considered as a sub discipline of Data Mining. A major interest has been received towards the automatic extraction of human opinions from web documents. The sole purpose of Sentiment Analysis is to facilitate online consumers in decision making process of purchasing new products. Opinion Mining deals with searching of sentiments that are expressed by Individuals through on-line reviews,surveys, feedback,personal blogs etc. With the vast increase in the utilization of Internet in today's era a similar increase has been seen in the use of blog's,reviews etc. The person who actually uses these reviews or blog's is mostly a consumer or a manufacturer. As most of the customers of the world are buying & selling product on-line so it becomes company's responsibility to make their product updated. In the current scenario companies are taking product reviews from the customers and on the basis of product reviews they are able to know in which they are lacking or strong this can be accomplished with the help of sentiment analysis. Therefore Our objective of our research is to build a tool which can automatically extract opinion words and find out their polarity by using dictionary,This actually reduces the manual effort of reading these reviews and to evaluate them. The research also illustrates the benefits of using Unstructured text instead of training data which expensive . In this research effort we demonstrate a method which is based on rules where product reviews are extracted from review containing sites and analysis is done, so that a person may know whether a particular product review is positive or negative or neutral. The system will utilize a existing knowledge base for calculate positive and negative scores and on the basis of that decide whether a product is recommended or not. The system will evaluate the utility of Lexical resources over the training data.
Formulation and Drug Release of Isoxsuprine HCL Enteric Coated TabletsINFOGAIN PUBLICATION
The aim of the study is to formulate and evaluate enteric coated tablets using Isoxsuprine Hydrochloride as a model drug. Different core tablets and enteric coated tablets were prepared and drug release was studied. Isoxsuprine Hydrochloride core tablets were prepared by wet granulation method, using polymers, by changing drug ratios. The granules are evaluated for physical properties and the in-vitro drug release studies. Enteric coating was carried out using different sub coating materials. Enteric coating was performed in a mini coating pan at 107 rpm using low-pressure air atomized liquid spray technique. By changing the coating material, were done single coated, Double coated tablets are evaluated for uniformity hardness, friability, invitro disintegration and dissolution studies. The in-vitro drug release data was fitted into various kinetic models. All the formulations showed the values within the prescribed limit. It was observed that the higher rate and drug release was observed for the double coated tablets, this is because second layer having high viscosity.
Dr Sue Black, OBE
“If I can do it, so can you” is the inspiring and motivating story of one woman’s determination to succeed.
Twenty-five years ago Dr Sue Black was a single parent with three small children living on a council estate in Brixton. She is now one of the top 50 women in tech in Europe, has an OBE and has just been appointed to the Government Advisory body shaping digital services.
Sue talks about how she brought her family out of poverty and built a successful career through education, passion and a determination to succeed.
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWSijistjournal
Opinions Play important role in the process of knowledge discovery or information retrieval and can be considered as a sub discipline of Data Mining. A major interest has been received towards the automatic extraction of human opinions from web documents. The sole purpose of Sentiment Analysis is to facilitate online consumers in decision making process of purchasing new products. Opinion Mining deals with searching of sentiments that are expressed by Individuals through on-line reviews,surveys, feedback,personal blogs etc. With the vast increase in the utilization of Internet in today's era a similar increase has been seen in the use of blog's,reviews etc. The person who actually uses these reviews or blog's is mostly a consumer or a manufacturer. As most of the customers of the world are buying & selling product on-line so it becomes company's responsibility to make their product updated. In the current scenario companies are taking product reviews from the customers and on the basis of product reviews they are able to know in which they are lacking or strong this can be accomplished with the help of sentiment analysis. Therefore Our objective of our research is to build a tool which can automatically extract opinion words and find out their polarity by using dictionary,This actually reduces the manual effort of reading these reviews and to evaluate them. The research also illustrates the benefits of using Unstructured text instead of training data which expensive . In this research effort we demonstrate a method which is based on rules where product reviews are extracted from review containing sites and analysis is done, so that a person may know whether a particular product review is positive or negative or neutral. The system will utilize a existing knowledge base for calculate positive and negative scores and on the basis of that decide whether a product is recommended or not. The system will evaluate the utility of Lexical resources over the training data.
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWSijistjournal
Opinions Play important role in the process of knowledge discovery or information retrieval and can be considered as a sub discipline of Data Mining. A major interest has been received towards the automatic extraction of human opinions from web documents. The sole purpose of Sentiment Analysis is to facilitate online consumers in decision making process of purchasing new products. Opinion Mining deals with searching of sentiments that are expressed by Individuals through on-line reviews,surveys, feedback,personal blogs etc. With the vast increase in the utilization of Internet in today's era a similar increase has been seen in the use of blog's,reviews etc. The person who actually uses these reviews or blog's is mostly a consumer or a manufacturer. As most of the customers of the world are buying & selling product on-line so it becomes company's responsibility to make their product updated. In the current scenario companies are taking product reviews from the customers and on the basis of product reviews they are able to know in which they are lacking or strong this can be accomplished with the help of sentiment analysis. Therefore Our objective of our research is to build a tool which can automatically extract opinion words and find out their polarity by using dictionary,This actually reduces the manual effort of reading these reviews and to evaluate them. The research also illustrates the benefits of using Unstructured text instead of training data which expensive . In this research effort we demonstrate a method which is based on rules where product reviews are extracted from review containing sites and analysis is done, so that a person may know whether a particular product review is positive or negative or neutral. The system will utilize a existing knowledge base for calculate positive and negative scores and on the basis of that decide whether a product is recommended or not. The system will evaluate the utility of Lexical resources over the training data.
[Case Study] Physician, Know Thy User: Using Personas to Target Content and U...Scott Abel
Presented by Joe Sokohl at Documentation and Training Life Sciences, June 23-26, 208 in Indianapolis.
Ever have a project fail? You met with your project team, you talked with the customer, you reviewed technical requirements. But did you talk to your users? Just as one diagnosis doesn’t fit all patients, one application’s approach doesn’t work for all users. Know who accesses your information and uses your applications. Only then choose your features. Using a case study of a multinational project covering four countries, 10 business units, and tens of thousands of content elements, we’ll explore personas, scenarios, and other user-centered techniques. We’ll look at identifying users as well as segregating content according to users and regulatory needs.
What was involved in this cases study?
First we analyzed the 10 business units and their approaches and definitions of business goals. Next we analyzed industry standards for medical devices and their usage.
But that wasn’t enough. We interviewed 40 people in 4 countries, and created an information architecture prototype. We then tested this prototype in hospitals, doctors’ offices, and on site where medical devices were in use.
Based on this contextual inquiry, we refined the architecture and our understanding of the users. Decisions were then made on what type of content would be both appropriate and legal for each user and in each country.
Only with a solid understanding of the users and their goals could we define a flexible, extensible, and usable information and content architecture.
Enhancement and Enrichment of Digital Content by User Communities: The Aust...guest6a9161
Presentation by Rose Holley, Manager - Australian Newspapers Digitisation Program to the Innovative Ideas Forum held at the National Library of Australia 27 March 2009
Impact your Library UX with Contextual InquiryRachel Vacek
A contextual inquiry is a research study that involves in-depth interviews where users walk through common tasks in the physical environment in which they typically perform them. It can be used to better understand the intents and motivations behind user behavior. In this session, learn what’s needed to conduct a contextual inquiry and how to analyze the ethnographic data once collected. I'll cover how to synthesize and visualize your findings as sequence models and affinity diagrams that directly inform the development of personas and common task flows. Finally, learn how this process can help guide your design and content strategy efforts while constructing a rich picture of the user experience.
S.NoSalesforce Business Analyst roleComputer Systems Analysts.docxjeffsrosalyn
S.No
Salesforce Business Analyst role
Computer Systems Analysts
Match the roles and responsibilities
Which point of computer system analyst role match to
Salesforce analyst point?
Explain briefly how it is related in IT project in real time world
1
Responsible for gathering and Creating Custom Objects, Tabs, Custom Apps, Workflows,
Approval processes, Validate Rules, Page Layouts, Data Mapping, Data Export and Imports,
Application Support, Security Administration, Maintenance, and User Security Management, Creating Reports, Dashboards,
Apex Triggers, Apex classes, Data migration, SOQL, SOSL Queries.
Consult with managers to determine the role of IT systems in an organization
2
Responsible to build standard report templates, data validation, and issue research/resolution,
Strong analytical, reporting, Excel, and database skills, extensive knowledge of CRM software (experience administering and configuring Salesforce.com application and Oracle ERP applications).
Research emerging technologies to decide if installing them can increase the organization's efficiency and effectiveness
3
Work with various Salesforce.com objects like Accounts, Contacts, Leads, Opportunities, Reports, and created custom objects based on Business need.
Prepare an analysis of costs and benefits so that management can decide if IT systems and computing infrastructure upgrades are financially worthwhile
4
Work as a Sales Force Chatter APP with the organization and regularly participated in the meetings and chatter community.
Devise ways to add new functionality to existing computer systems
5
Create New Reports, New Dash Boards, and worked on Data Loader by uploading about close to a million records and experienced in cleansing and De-duplicating bulk loads.
Design and implement new systems by choosing and configuring hardware and software
6
Implement pick lists, dependent pick lists, lookups, master detail relationships, validation and formula fields to custom objects.
Oversee the installation and configuration of new systems to customize them for the organization
7
Generate Apex Classes using WSDL and wrote business logic layer for integration with external web services to the system for functional needs.
Conduct testing to ensure that the systems work as expected
8
Integrate and deploy custom integration solutions using Force.com Eclipse IDE Plug-in,
Force.com Explorer, Data Loader, Force.com Excel Connector, Migration Tool and process builder.
Train the systems' end users and write instruction manuals
9
Conduct Release Management tasks required to promote tested functionality from different sandboxes into production environment. Expeftise in Agile/Serum and Waterfall methodologies, SOftware Development Life Cycle (SPLC) processes.
10
Added custom fields and validations to new and existing objects and added custom functionality using custom controllers and custom extensions.
11
Deploy salesforce components from sandbox to production using Change Set and E.
Contextual Inquiry: How Ethnographic Research can Impact the UX of Your WebsiteRachel Vacek
A contextual inquiry is a research study that involves in-depth interviews where users walk through common tasks in the physical environment in which they typically perform them. It can be used to better understand the intents and motivations behind user behavior. In this session, learn what’s needed to conduct a contextual inquiry and how to analyze the ethnographic data once collected. We’ll cover how to synthesize and visualize your findings as sequence models and affinity diagrams that directly inform the development of personas and common task flows. Finally, learn how this process can help guide your design and content strategy efforts while constructing a rich picture of the user experience.
30 AI Tools for Educators, Librarians, and Researchers: Leveraging, AI Tools ...Lucky Gods
Supercharge Your Workflow: 30 AI Tools for Education Power Users
Feeling overwhelmed by lesson plans, research rabbit holes, and endless to-do lists? Fear not, knowledge warriors! The future is here, and it's packed with amazing AI tools ready to simplify your life and amplify your impact.
Imagine:
** Grading essays in a flash, with personalized feedback for each student.** ✍️✨
** Researching complex topics without drowning in a sea of articles.** ️♀️
** Creating engaging, interactive lessons that keep students glued to their screens.**
** Analyzing data like a pro, spotting trends and insights that would have taken days to find manually.**
** Collaborating with colleagues and experts from around the world, in real-time.**
This concise guide unlocks the door to 30 of the most powerful AI tools for educators, librarians, and researchers. We'll break down each tool, showing you how it can save you time, boost your productivity, and unlock new possibilities for learning and discovery.
Get ready to ditch the tedious tasks and focus on what you do best: inspiring and empowering the next generation!
Slides for keynote "Social Media and AI: Don’t forget the users" at WWW 2017 workshop "International Workshop on Modeling Social Media: Machine Learning and AI for Modeling and Analyzing Social Media". I am arguing that we need consider two things: the source of what we use to make good algorithms and whether users are impacted the way we want to impact them. The talk is based on two uses cases around providing diversity (something many of us believe is good) to users:
1. Engaging through diversity: serendipity (same algorithm, different sources)
2. Engaging through diversity: awareness (effective algorithm, perception)
My goal is to say, we may have the best AI, but we may get it wrong if we forget the users. I don't have answers, but it is important that we ask the right questions in today's world.
COMM 111. MannSpeech Outline Format PRE-PLANNINGTopic .docxmonicafrancis71118
COMM 111. Mann
Speech Outline Format
PRE-PLANNING
Topic: Determine.
Audience: Analyze. What do they already know of the topic? Would they be interested?
Purpose Statement: What do you intend to achieve with your speech?
Working Thesis: What is the main idea?
Organizing Question: What main ideas and info do you need to develop your topic?
Main Points: Do research and determine these BEFORE you write the intro & conclusion.
Title: Optional (Can give the speech focus and memorability)
INTRODUCTION (Type out word for word)
Capture Attention
Get the audience’s attention, orient them to the topic & motivate them to listen. (Techniques: ask questions, develop suspense/curiosity, stimulate imagination, amuse or use humor, promise a benefit, tell a relevant story, relate a personal experience, involve the audience, use a quote, use a visual or other media aid, etc.)
Significance/Relevance
Tell the audience why they should care about this topic. Tell them “what’s in it for them.” Tie it to their needs, interests or well-being.
Credibility
Establish yourself as a competent, trustworthy, likable and sincere person. Explain your qualifications (knowledge, interest/research or experience) for this topic.
Thesis (Underline or type in bold)
A clear, concise and creative sentence that explains the speech’s main idea.
Preview
Indicates the main points you will cover and gives an overview of the speech.
Transition (usually in italic)
Connecting words or phrases that serve as signposts that help your audience see the overall pattern of your speech.
BODY (Type in outline style) (usually 2-3 main points in a 5-7 minute speech)
Determine the speech design that best communicates your points (topical, chronological, spatial, causal, pro-con, mnemonic/gimmick).
I. Main Point
A. Subpoint/Support
Use a mix of supporting material (examples, definitions, narratives, comparison/contrast, facts/stats, testimony) Use the 4S – Signpost, State, Support, Summarize. ORALLY CITE YOUR SOURCES! (See pg. 141-144 )
a.
b.
Transition (usually in italic)
II. Main Point (repeat above)
Transition (usually in italic)
III. Main Point (repeat above)
Transition (usually in italic)
CONCLUSION (Type out word for word)
Summary Statement
Review the points and meaning of your speech, but don’t just restate the thesis.
Concluding Remarks
Leave the audience with final reflections that are memorable and that underscore the significance of the speech, and bring psychological/emotional closure. (Ideas: tie back to the intro., use a quote, ask a question, end with a story, involve the audience, tie back to a visual, link to a metaphor, etc.)
REFERENCES/WORKS CITED
Use different, credible, relevant sources and give complete citations on a separate page. Use APA or MLA style (refer to text if needed, pg 120-121).
(see back)
November 23, 2013
2
Applied Final Project – Part 1: Annotated Bibliography
BEHS 103: Technology in Contemporary Society
W.
* Differences between Websites and Web Applications
* Research Techniques for Knowing Your Users
* Task Analysis
* UI/UX Design Principles for Web Applications
For many AI applications, a prediction is not enough. End-users need to understand the “why” behind a prediction to make decisions and take next steps. Explainable AI techniques today can provide some insight into what your model has learned, but recent research highlights the need for interactivity with XAI tools. End-users need to interact and test “what if” scenarios in order to understand and build trust with an AI system. In this talk, I’ll discuss what human-factors research tells us about human decision making and how users build trust (or lose trust) in systems. I’ll also present interaction design techniques that can be applied to XAI services design.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
Italy Agriculture Equipment Market Outlook to 2027harveenkaur52
Agriculture and Animal Care
Ken Research has an expertise in Agriculture and Animal Care sector and offer vast collection of information related to all major aspects such as Agriculture equipment, Crop Protection, Seed, Agriculture Chemical, Fertilizers, Protected Cultivators, Palm Oil, Hybrid Seed, Animal Feed additives and many more.
Our continuous study and findings in agriculture sector provide better insights to companies dealing with related product and services, government and agriculture associations, researchers and students to well understand the present and expected scenario.
Our Animal care category provides solutions on Animal Healthcare and related products and services, including, animal feed additives, vaccination
Understanding User Behavior with Google Analytics.pdfSEO Article Boost
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
9. Persona
Investor or associate of a company or cooperative.
User needs
The company publishes a public annual report on the website.
Investors and associates want to have the possibility to comment,
discuss and ask questions about the reported data. They want their
opinion to be heard and possibly contribute to bring some improvements
for the years to come.
THE ANNUAL REPORT
Use cases
10. Persona
User interested in the quality of data in a digital archive.
User needs
The user browsing the archive might notice some inaccuracies in the data
and might want to suggest some improvements. This is even more
relevant if the user is specifically interested in the quality of data, like he
is a contributor to the digital archive or is the owner of the data.
The suggestion might be provided with an easy tool that allow the user to
select the wrong data and suggest the correction. Other users might
want to reply to that suggestions with comments or endorsements.
IMPROVING THE QUALITY
OF A DIGITAL ARCHIVE
Use cases
11. Persona
Scholar studying a correspondence of a particular author.
User needs
On each text of the corpus the scholar wants to state that certain parts
of text are talking about entities like persons, places, bibliographical
resources or other parts of text.
This action must be performed very quickly while reading and it must be
possible for other scholars to review and rate the work already done.
This enrichment could later be used to perform a more accurate search
among the whole corpus and visualise the relation between text,
persons and places.
STUDYING A
CORRESPONDENCE
Use cases