This add-on allows Google Spreadsheet users to enhance their textual spreadsheets content by automatically extracting named entities (such as places, persons, events or concepts) and linking them to Wikipedia by using Dandelion API.
Data Curation @ SpazioDati - NEXA Lunch SeminarSpazioDati
Some insights about data curation processes @ SpazioDati. How we're using Big Data tools, Linked Data technologies, to build our products: Dandelion API (dandelion.eu) and Atoka (atoka.io).
ISWC 2014 - Dandelion: from raw data to dataGEMs for developersSpazioDati
This is the presentation showed during ISWC 2014 at Riva del Garda. The session was titled "Developers Workshop", and the focus was on how you solved practical problems for Linked Data. We presented dandelion platform and our data curation workflow, and the overall idea of dataGEM APIs.
It Don’t Mean a Thing If It Ain’t Got SemanticsOntotext
With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder.
Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution.
It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in.
In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today.
This is an informal overview of Linked Data and the usage made of it for the project http://res.space (presented on August 11th 2016 during a team meeting)
In this presentation its given an introduction about Data Science, Data Scientist role and features, and how Python ecosystem provides great tools for Data Science process (Obtain, Scrub, Explore, Model, Interpret).
For that, an attached IPython Notebook ( http://bit.ly/python4datascience_nb ) exemplifies the full process of a corporate network analysis, using Pandas, Matplotlib, Scikit-learn, Numpy and Scipy.
Data Curation @ SpazioDati - NEXA Lunch SeminarSpazioDati
Some insights about data curation processes @ SpazioDati. How we're using Big Data tools, Linked Data technologies, to build our products: Dandelion API (dandelion.eu) and Atoka (atoka.io).
ISWC 2014 - Dandelion: from raw data to dataGEMs for developersSpazioDati
This is the presentation showed during ISWC 2014 at Riva del Garda. The session was titled "Developers Workshop", and the focus was on how you solved practical problems for Linked Data. We presented dandelion platform and our data curation workflow, and the overall idea of dataGEM APIs.
It Don’t Mean a Thing If It Ain’t Got SemanticsOntotext
With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder.
Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution.
It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in.
In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today.
This is an informal overview of Linked Data and the usage made of it for the project http://res.space (presented on August 11th 2016 during a team meeting)
In this presentation its given an introduction about Data Science, Data Scientist role and features, and how Python ecosystem provides great tools for Data Science process (Obtain, Scrub, Explore, Model, Interpret).
For that, an attached IPython Notebook ( http://bit.ly/python4datascience_nb ) exemplifies the full process of a corporate network analysis, using Pandas, Matplotlib, Scikit-learn, Numpy and Scipy.
The first workshop of the series "Services to support FAIR data" took place in Prague during the EOSC-hub week (on April 12, 2019).
Speaker: Maajke the Jong
Linking Open, Big Data Using Semantic Web Technologies - An IntroductionRonald Ashri
The Physics Department of the University of Cagliari and the Linkalab Group invited me to talk about the Semantic Web and Linked Data - this is simply an introduction to the technologies involved.
Using the Semantic Web Stack to Make Big Data SmarterMatheus Mota
This presentation will discuss how just a few parts of the Semantic Web Cake can already boost your analytics by making your (big) data smarter and even more connected.
Powerful Information Discovery with Big Knowledge Graphs –The Offshore Leaks ...Connected Data World
Borislav Popov's slides from his lightning talk at Connected Data London. Borislav - a Director of Business Development at Ontotext presented Ontotext's approach to tackling the Panama Papers leak. Using a technology that is a mix between semantic web and graph databases.
To share the experience of INEGI in the use of Twitter as a big data source.
Initial objective of INEGI’s Big Data Project: To generate experimental indicators using Big Data techniques with social media data, to complement statistical information obtained from traditional methods and sources.
Initial Goal: To obtain indicators of subjective wellbeing from social media data sources.
The Bounties of Semantic Data Integration for the Enterprise Ontotext
If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical.
Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way.
Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business.
www.ontotext.com
Knowledge graphs - it’s what all businesses now are on the lookout for. But what exactly is a knowledge graph and, more importantly, how do you get one? Do you get it as an out-of-the-box solution or do you have to build it (or have someone else build it for you)? With the help of our knowledge graph technology experts, we have created a step-by-step list of how to build a knowledge graph. It will properly expose and enforce the semantics of the semantic data model via inference, consistency checking and validation and thus offer organizations many more opportunities to transform and interlink data into coherent knowledge.
Semantics for Big Data Integration and AnalysisCraig Knoblock
Much of the focus on big data has been on the problem of processing very large sources. There is an equally hard problem of how to normalize, integrate, and transform the data from many sources into the format required to run large-scale anal- ysis and visualization tools. We have previously developed an approach to semi-automatically mapping diverse sources into a shared domain ontology so that they can be quickly com- bined. In this paper we describe our approach to building and executing integration and restructuring plans to support analysis and visualization tools on very large and diverse datasets.
Smarter content with a Dynamic Semantic Publishing PlatformOntotext
Personalized content recommendation systems enable users to overcome the information overload associated with rapidly changing deep and wide content streams such as news. This webinar discusses Ontotext’s latest improvements to its Dynamic Semantic Publishing (DSP) platform NOW (News on the Web). The Platform includes social data mining, web usage mining, behavioral and contextual semantic fingerprinting, content typing and rich relationship search.
Find the specific Wikipedia page you’re looking for, using Wikisearch APISpazioDati
Wikisearch is a new semantic search API that helps you find the specific Wikipedia page you’re looking for. It's designed to work even if you don’t remember its exact title, or have only a vague remembrance that it relates to some specific topic.
The first workshop of the series "Services to support FAIR data" took place in Prague during the EOSC-hub week (on April 12, 2019).
Speaker: Maajke the Jong
Linking Open, Big Data Using Semantic Web Technologies - An IntroductionRonald Ashri
The Physics Department of the University of Cagliari and the Linkalab Group invited me to talk about the Semantic Web and Linked Data - this is simply an introduction to the technologies involved.
Using the Semantic Web Stack to Make Big Data SmarterMatheus Mota
This presentation will discuss how just a few parts of the Semantic Web Cake can already boost your analytics by making your (big) data smarter and even more connected.
Powerful Information Discovery with Big Knowledge Graphs –The Offshore Leaks ...Connected Data World
Borislav Popov's slides from his lightning talk at Connected Data London. Borislav - a Director of Business Development at Ontotext presented Ontotext's approach to tackling the Panama Papers leak. Using a technology that is a mix between semantic web and graph databases.
To share the experience of INEGI in the use of Twitter as a big data source.
Initial objective of INEGI’s Big Data Project: To generate experimental indicators using Big Data techniques with social media data, to complement statistical information obtained from traditional methods and sources.
Initial Goal: To obtain indicators of subjective wellbeing from social media data sources.
The Bounties of Semantic Data Integration for the Enterprise Ontotext
If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical.
Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way.
Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business.
www.ontotext.com
Knowledge graphs - it’s what all businesses now are on the lookout for. But what exactly is a knowledge graph and, more importantly, how do you get one? Do you get it as an out-of-the-box solution or do you have to build it (or have someone else build it for you)? With the help of our knowledge graph technology experts, we have created a step-by-step list of how to build a knowledge graph. It will properly expose and enforce the semantics of the semantic data model via inference, consistency checking and validation and thus offer organizations many more opportunities to transform and interlink data into coherent knowledge.
Semantics for Big Data Integration and AnalysisCraig Knoblock
Much of the focus on big data has been on the problem of processing very large sources. There is an equally hard problem of how to normalize, integrate, and transform the data from many sources into the format required to run large-scale anal- ysis and visualization tools. We have previously developed an approach to semi-automatically mapping diverse sources into a shared domain ontology so that they can be quickly com- bined. In this paper we describe our approach to building and executing integration and restructuring plans to support analysis and visualization tools on very large and diverse datasets.
Smarter content with a Dynamic Semantic Publishing PlatformOntotext
Personalized content recommendation systems enable users to overcome the information overload associated with rapidly changing deep and wide content streams such as news. This webinar discusses Ontotext’s latest improvements to its Dynamic Semantic Publishing (DSP) platform NOW (News on the Web). The Platform includes social data mining, web usage mining, behavioral and contextual semantic fingerprinting, content typing and rich relationship search.
Find the specific Wikipedia page you’re looking for, using Wikisearch APISpazioDati
Wikisearch is a new semantic search API that helps you find the specific Wikipedia page you’re looking for. It's designed to work even if you don’t remember its exact title, or have only a vague remembrance that it relates to some specific topic.
Project Report for Twitter Sentiment Analysis done using Apache Flume and data is analysed using Hive.
I intend to address the following questions:
How raw tweets can be used to find audience’s perception or sentiment about a person ?
How Hadoop can be used to solve this problem?
How Apache Hive can be used to organize the final data in a tabular format and query it?
How a data visualization tool can be used to display the findings?
HTML5 is taking web documents to a next level, by adding semantics. HTML5 contains several semantics elements but they are not enough to annotate your content. You can tag your content with Microdata to build a better web document which can be understood by machines.
This presentation helps you understand Microdata, one of the most popular format to add semantics to your content. It will also give a brief about Google Rich Snippets.
Making Websites Talk: the rise of Voice Search and Conversational InterfacesAndrea Volpini
Learn how to use the power of semantic intelligent content to make your website talk and to improve the findability of your content. During this workshop we will cover: Why semantically rich, intelligent content is important for artificial intelligence and machine learning applications, how to optimise your content for Voice Search and Personal Digital Assistants, how to build a chatbot for your website and an app for the Google Assistant, and the discovery of chatbots and key performance indicators to improve them https://wordlift.io/blog/en/entity/wordcamp-europe-2018/
The PoolParty Semantic Classifier is a component of the Semantic Suite, which makes use of machine learning in combination with Knowledge Graphs.
We discuss the potential of the fusion of machine learning, neuronal networks, and knowledge graphs based on use cases and this concrete technology offering.
We introduce the term 'Semantic AI' that refers to the combined usage of various AI methods.
Data Science. Business Analytics is the statistical study of business data to gain insights. Data science is the study of data using statistics, algorithms and technology. Uses mostly structured data. Uses both structured and unstructured data.
You'd like to be more rational and data-driven in your decision making. You know that your museum has been collecting web traffic metrics using Google Analytics, but you've never fully understood what those reports mean for you or your department. How can you use this popular software to find actionable data that helps you do your job better? In this session you will get a practical tutorial, led by two Google Analytics veterans at the Smithsonian, who will provide an overview of the current Google Analytics, including some of its newest, most powerful features. The presenters will also discuss the step-by-step process for moving beyond measurement just for measurement's sake, using real-life museum case studies as examples.
Presenters: Sara Snyder, Smithsonian American Art Museum; Brian Alpert, Smithsonian Institution.
Presented at the American Alliance of Museums 2016 Annual Meeting & MuseumExpo, 5/27/2016.
Building an enterprise Natural Language Search Engine with ElasticSearch and ...Debmalya Biswas
Presented at Berlin Buzzwords 2019
https://berlinbuzzwords.de/19/session/building-enterprise-natural-language-search-engine-elasticsearch-and-facebooks-drqa
Scaling organic growth by building products - Turing Fest 2018Fabrizio Ballarini
My talk at Turing Fest 2018
Building products with engineers is the most scalable way to drive organic growth. In the presentation I introduce briefly the disconnect I found between marketing and product/engineering from my past consulting experience, cover the basics on how we setup autonomous and independent growth teams and ultimately dive into how we drive growth by building products with engineers. In the “building products” deep dive I give an overview of our framework to generate products ideas from search data, provide some tactical examples on how building custom CMSs allows us to quickly validate MVPs, why we invest in infrastructure to scale acquisition and what we learned so far by building products that solve customers problems across the entire funnel.
Fabrizio Ballarini — Scaling Organic Growth by Building Products (Turing Fest...Turing Fest
Building products with engineers is the most scalable way to drive organic growth. I will introduce briefly the disconnect I found between marketing and product/engineering from my past consulting experience, cover the basics on how we setup autonomous and independent growth teams and ultimately dive into how we drive growth by building products with engineers. In the “building products” deep dive I will give an overview of our framework to generate products ideas from search data, provide some tactical examples on how building custom CMSs allows us to quickly validate MVPs, why we invest in infrastructure to scale acquisition and what we learned so far by building products that solve customers problems across the entire funnel.
Understanding Semantic Search and AI Content to Drive Growth in 2023 March 2023TysonStockton1
Exploring modern search engines, semantic search, and AI technology to better understand how we can integrate into SEO strategy and content initiatives.
With the rise of ChatGPT there has been a lot of discussion around if SEO content is good or bad. To best determine how to leverage this technology in SEO workflows we must revisit how a modern search engine works and where we are at with AI technology.
Similar to Text analytics for Google Spreadsheets using Text Mining add-on (20)
Dandelion API e Atoka: due strumenti utili al Data JournalismSpazioDati
Spunti per capire come usare dati strutturati e dati non strutturati nel lavoro del Data Journalist, attraverso Dandelion API - https://dandelion.eu - e Atoka - https://atoka.io.
Lezione tenuta al corso "Media digitali e Data Journalism", il 19/11/2015 -http://www.coris.uniroma1.it/node/9152.
News Fact-checking: One Practical Application of Linked StatisticsSpazioDati
This is the poster for SemStat at ISWC 2014 in Riva del Garda. SemStat 2014 was the "Second International Workshop on Semantic Statistics". Our poster is about a use case on fact-checking using the potential of Linked Statistics.
Dandelion API and mobile payment: food for thoughts for H-ACK PAYMENTSpazioDati
Some ideas to use Dandelion API for H-ACK PAYMENT, a hackathon at H-FARM on mobile payment. Managing unstructured data and content to improve user experience on mobile payment scenario. From more contextual informations, to contextual ads.
Linked STAT per l'evento datalab con ISTAT alla Smart City Exhibition 2013SpazioDati
Presentazione mostrata all'evento Open Census all'interno del Datalab curato da ISTAT, per Smart City Exhibition 2013. Si racconta la volontà di SpazioDati di continuare un lavoro assieme ad ISTAT, per trasformare dati statistici in formati RDF, con l'uso del vocabolario DataCube.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
4. turn text into data for analysis
why it’s useful
• Enterprise Business Intelligence/Data Mining, Competitive Intelligence
• E-Discovery, Records Management
• National Security/Intelligence
• Scientific discovery, especially Life Sciences
• Sentiment Analysis Tools, Listening Platforms
• Natural Language/Semantic Toolkit or Service
• Publishing
• Automated ad placement
• Search/Information Access
• Social media monitoring
5. #textanalytics #textmining#gdrive
turn text into data for analysis
usually you have to be a developer,
but now you can do a lot of things
directly inside Google
Spreadsheet, thanks to Text Mining add-on
bit.ly/TextMiningAddonGoogleDrive
6. but why is it useful?
#textanalytics #textmining#gdrive
7. †
turn text into data for analysis
infographics, tag clouds, mind maps,
graphs, charts…
9. extract useful informations from a news article published on
http://edition.cnn.com/2014/09/10/world/rosetta-philae-landing-site/index.html?hpt=hp_t3
#textanalytics #textmining#gdrive
10. copy & paste
this text on
a Google
Sheet…
#textanalytics #textmining#gdrive
11. this is just text: we call it “unstructured data”
#textanalytics #textmining#gdrive
12. if we select the cell, launch the Text Mining add-on,
and click “Analyze text”…
13. … we are performing
named entity extraction using
Dandelion API,
inside the Google Sheet
#textanalytics #textmining#gdrive
14. now, we find something else:
a new sheet titled “Analysis” with
a lot of useful stuff…
#textanalytics #textmining#gdrive
15. TEXT -> to keep control of the the text analysed
HIGHLIGHT -> the label of an “entity”, taken from the original text
CONFIDENCE -> a numeric estimation of the quality of the annotation
ENTITY NAME -> the conceptual entity as it appears in our system
16. #textanalytics #textmining#gdrive
WIKIPEDIA URL -> the link to the Wikipedia page of the entity
TYPES -> the types associated with the entity, extracted from Wikipedia
CATEGORIES -> the types associated with the entity, extracted from
Wikipedia
17. so why is it useful?
before: it’s only text
now it’s contextual data
18. in other words:
the text “67P/Churyumov-Gerasimenko”
has now some structured details, like
“categories”: a sort of tag set very useful:
#textanalytics #textmining#gdrive
19. you can do a lot of things with
Text Mining add-on for Google Sheets
build a tag cloud using concepts labels
( typed concept )
extract persons cited in a lot of content
build some graph/chart using types found
inside the content
extract some data from a lot of tweets
(useful for Social Media consultants and
not so many data)
find useful keywords to enrich your
content (a better SEO?)
enrich your content with useful links to
contextual Wikipedia pages
#textanalytics #textmining#gdrive
20. and all of this without programming :)
and inside your own Google Spreadsheet!
democratizing text analytics!
#textanalytics #textmining#gdrive
21. and if you are a smart guy, or
a data journalist for example,
you can do something better…
#textanalytics #textmining#gdrive
22. use your Google SpreadSheet as a little database,
to build smart interactive web pages
Google
Spreadsheet
unstructured
data
Google
Spreadsheet
structured
data
+ Dandelion API
23. and don’t forget: you are using some data taken from
the Linked Open Data Cloud without knowing anything
about it!
24. How-to install Text Mining add-on for
Google Sheets
#textanalytics #textmining#gdrive
25. inside a Google Sheet,
looking for “Text Mining” inside the store…
#textanalytics #textmining#gdrive
26. or using this link at the bottom…
bit.ly/TextMiningAddonGoogleDrive
27. there is a tutorial on dandelion.eu to setup it
https://dandelion.eu/docs/api/integrations/gdrive
28. Unleash your creativity,
give it a try!
@dandelionapi
#textanalytics #textmining#gdrive
bit.ly/TextMiningAddonGoogleDrive