GATE: a text analysis tool for social mediaDiana Maynard
Short tutorial about how and why to use GATE for text analysis of social media, given at the Big Social Data workshop at Reading University in April 2015.
TwitIE: An Open-Source Information Extraction Pipeline for Microblog TextLeon Derczynski
Code: http://gate.ac.uk/wiki/twitie.html
Paper: https://gate.ac.uk/sale/ranlp2013/twitie/twitie-ranlp2013.pdf
Twitter is the largest source of microblog text, responsible for gigabytes of human discourse every day. Processing microblog text is difficult: the genre is noisy, documents have little context, and utterances are very short. As such, conventional NLP tools fail when faced with tweets and other microblog text. We present TwitIE, an open-source NLP pipeline customised to microblog text at every stage. Additionally, it includes Twitter-specific data import and metadata handling. This paper introduces each stage of the TwitIE pipeline, which is a modification of the GATE ANNIE open-source pipeline for news text. An evaluation against some state-of-the-art systems is also presented.
GATE: a text analysis tool for social mediaDiana Maynard
Short tutorial about how and why to use GATE for text analysis of social media, given at the Big Social Data workshop at Reading University in April 2015.
TwitIE: An Open-Source Information Extraction Pipeline for Microblog TextLeon Derczynski
Code: http://gate.ac.uk/wiki/twitie.html
Paper: https://gate.ac.uk/sale/ranlp2013/twitie/twitie-ranlp2013.pdf
Twitter is the largest source of microblog text, responsible for gigabytes of human discourse every day. Processing microblog text is difficult: the genre is noisy, documents have little context, and utterances are very short. As such, conventional NLP tools fail when faced with tweets and other microblog text. We present TwitIE, an open-source NLP pipeline customised to microblog text at every stage. Additionally, it includes Twitter-specific data import and metadata handling. This paper introduces each stage of the TwitIE pipeline, which is a modification of the GATE ANNIE open-source pipeline for news text. An evaluation against some state-of-the-art systems is also presented.
This presentation is about GATE which is a Natural Language Processing Platform That supports many Languages. It also mentions Mimir which is an Indexing server for GATE that enables its users to search in a corpus of documents
Multimodal opinion mining from social mediaDiana Maynard
Presentation at the BCS SGAI 2013 conference in Cambridge, December 2013, describing the combination of opinion mining from text and multimedia from social media.
Social media & sentiment analysis splunk conf2012Michael Wilde
This presentation was delivered at Splunk's User Conference (conf2012). It covers info about social media data, how to index / use it with Splunk and a lot of content around Sentiment Analysis.
What do you really mean when you tweet? Challenges for opinion mining on soci...Diana Maynard
This talk, given at BRACIS 2013, introduces the topics of opinion mining and social media analytics, in particular looking at the challenges they impose for an NLP system. It investigates the impact of non-standard text in social media, use of sarcasm, swear words, non-words, short sentences, multiple languages and so on, which impede the success of current NLP tools to perform good analysis, and examines tools being developed in some current cutting-edge research projects, including not only text-based research but also multimedia analysis.
Sentiment Analysis also known as opinion mining and Emotional AI
Refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, quantify and study affective states and subjective information.
widely used in
Reviews
Survey responses
Online and social media
Health care
Artificial Assistants: How can I help you? by Christopher CurrinChristopher Currin
Chatbots are not equal; with different forms permeating our lives more and more. Virtual assistants are increasingly relevant for businesses and our day-to-day lives. Chatbots have become ubiquitous for interactions, yet ‘reasonable’ intelligence remains elusive.
In this talk, we explore and explain their underlying architectures and capabilities to understand what makes them work, their weaknesses, and future improvements.
Design principles from a technology and human perspective will be disseminated with examples of current production systems and their impact. Furthermore, the audience will have the opportunity to advance these best practices.
Resources will be made available, so the technology is relevant, practical, and accessible.
Using Data Science for Social Good: Fighting Human TraffickingAnidata
In this talk, Vincent Emanuele tells the story of how Anidata has applied data science techniques in collaboration with law enforcement to fight human trafficking.
Dark Data and Improving Human Rights in Fulton CountyAnidata
In this talk, Dr Baxley discusses the application of data science techniques to fight human trafficking. He gives a brief overview of Anidata, then dives into the technical details of the implementation of the graph-based entity resolution algorithm developed and implemented using Python, Luigi, and NetworkX.
The big data phenomenon has confirmed the achievement of data access transformation. Sentiment analysis (SA) is one of the most exploited area and used for profit-making purpose through business intelligence applications. This paper reviews the trends in SA and relates the growth in the area with the big data era.
An informative session on Amazon Mechanical Turk where you will learn how your company can leverage the human crowd for human sentiment analysis of content such as tweets, articles, RSS feeds and blog posts. This session digs into the details of getting started and provides information on how to be successful so you get accurate results. Additionally, FreedomOSS will share their experiences designing and managing sentiment tasks and demo's their CrowdControl crowdsourcing platform that is built on top of Mechanical Turk.
This presentation is about GATE which is a Natural Language Processing Platform That supports many Languages. It also mentions Mimir which is an Indexing server for GATE that enables its users to search in a corpus of documents
Multimodal opinion mining from social mediaDiana Maynard
Presentation at the BCS SGAI 2013 conference in Cambridge, December 2013, describing the combination of opinion mining from text and multimedia from social media.
Social media & sentiment analysis splunk conf2012Michael Wilde
This presentation was delivered at Splunk's User Conference (conf2012). It covers info about social media data, how to index / use it with Splunk and a lot of content around Sentiment Analysis.
What do you really mean when you tweet? Challenges for opinion mining on soci...Diana Maynard
This talk, given at BRACIS 2013, introduces the topics of opinion mining and social media analytics, in particular looking at the challenges they impose for an NLP system. It investigates the impact of non-standard text in social media, use of sarcasm, swear words, non-words, short sentences, multiple languages and so on, which impede the success of current NLP tools to perform good analysis, and examines tools being developed in some current cutting-edge research projects, including not only text-based research but also multimedia analysis.
Sentiment Analysis also known as opinion mining and Emotional AI
Refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, quantify and study affective states and subjective information.
widely used in
Reviews
Survey responses
Online and social media
Health care
Artificial Assistants: How can I help you? by Christopher CurrinChristopher Currin
Chatbots are not equal; with different forms permeating our lives more and more. Virtual assistants are increasingly relevant for businesses and our day-to-day lives. Chatbots have become ubiquitous for interactions, yet ‘reasonable’ intelligence remains elusive.
In this talk, we explore and explain their underlying architectures and capabilities to understand what makes them work, their weaknesses, and future improvements.
Design principles from a technology and human perspective will be disseminated with examples of current production systems and their impact. Furthermore, the audience will have the opportunity to advance these best practices.
Resources will be made available, so the technology is relevant, practical, and accessible.
Using Data Science for Social Good: Fighting Human TraffickingAnidata
In this talk, Vincent Emanuele tells the story of how Anidata has applied data science techniques in collaboration with law enforcement to fight human trafficking.
Dark Data and Improving Human Rights in Fulton CountyAnidata
In this talk, Dr Baxley discusses the application of data science techniques to fight human trafficking. He gives a brief overview of Anidata, then dives into the technical details of the implementation of the graph-based entity resolution algorithm developed and implemented using Python, Luigi, and NetworkX.
The big data phenomenon has confirmed the achievement of data access transformation. Sentiment analysis (SA) is one of the most exploited area and used for profit-making purpose through business intelligence applications. This paper reviews the trends in SA and relates the growth in the area with the big data era.
An informative session on Amazon Mechanical Turk where you will learn how your company can leverage the human crowd for human sentiment analysis of content such as tweets, articles, RSS feeds and blog posts. This session digs into the details of getting started and provides information on how to be successful so you get accurate results. Additionally, FreedomOSS will share their experiences designing and managing sentiment tasks and demo's their CrowdControl crowdsourcing platform that is built on top of Mechanical Turk.
Make sustainability sustainable (preview)Fan Foundry
Marketing "green" products often backfires because, much as we'd like all buyers to follow the altruistic "because green is better" thinking, other unaddressed factors intervene to short circuit that thinking, with the result that sustainable solutions fail to gain traction in the hearts and minds of buyers. But it doesn't have to be that way.
Using Internet & Smartphone Tools to Engage & Support Volunteers (April 2013,...PDXTech4Good.org
Thanks to the Internet and handheld computers like smart phones, it's never been easier for nonprofits, schools, libraries, government programs and other mission-based initiatives to keep volunteers feeling supported, informed and valued. But how do you communicate all you need to without overwhelming volunteers? How do you appeal to the many different communications styles among volunteers? How do you keep your messages from being drowned out from the growing volume of online "noise" and landslide of information and Internet memes? And how do you integrate online communications with your many different other priorities? This lively discussion will explore all this and more!
Jayne Cravens is an internationally-recognized trainer, researcher and consultant. She is a pioneer regarding the research and practice of virtual volunteering, and she is a veteran manager of various local and international initiatives. She has been quoted in articles in The New York Times, The Wall Street Journal and the Associated Press, as well as for reports by CNN, Deutsche Well, the BBC, and various local radio and TV stations. Resources from her web site, coyotecommunications.com, are frequently cited in reports and articles by a variety of organizations, online and in-print. She is currently based near Portland, Oregon in the USA.
A recording from PDXTech4Good, a free monthly gathering of nonprofits, techies and activists in Portland, Oregon. More information: PDXTech4Good.org
Webinar - Authentic Storytelling with Greenpeace: A 10 Step Process 09-14-2017 TechSoup
Learn how to create stories of progress and renewal, impact and change. The process of creating stories is as important as the process of presenting that story. Creating a story is an ethical process. It comes from a nonprofit’s heart, mind and passion --- from the body. There are also steps that a nonprofit can take to refine their story. Join Greenpeace’s storytelling expert, Tsering Lama as she guides us through Greenpeace’s 10 Steps Process for Developing a Narrative.
John Coventry from GoFundMe shares his insights and experience of launching and using innovative new platforms to make real world change and take a look at future trends.
Talk delivered by Antoinette Coetzee at Romania Meetup - 18 Mar 2019
Abstract:
Agile has brought a radical way of looking at the world of work. In a lot of cases it is counter-intuitive and requires unlearning and stretching into unknown ways of doing, thinking and acting. In short, it requires people to CHANGE. And no matter how much we profess that we are comfortable with change, change is hard. As agilists we come up against this reluctance to change all the time. In fact, we could say that agile coaching was born out of the need to facilitate the change necessary in people and organisations. So it goes without saying that we need to understand change, know how to wield it effectively and more than anything, need to know how to support people when they go through change.
In this session we will explore:
How to create an environment for change
How individuals experience change
How we can work with resistance
How to bring about successful organisational change
How neuroscience can help us
As coaches, it is vital for us to have a visceral experience of what we ask our clients to go through when we work with them. In this talk, you will be given a chance to apply the learnings by practicing on one another, either in person or in virtual groups. And if this makes you reluctant to join the session, all the more reason to join us!
20 Years of Text Mining Applications with GATE: from Donald Trump to curing c...Diana Maynard
Talk given at the Data Pioneers 1st meetup in London, 27 July 2017.
Abstract:
The GATE open source NLP toolkit has now been in continuous development for 20 years at the University of Sheffield. Originally funded by a small EPSRC research grant, it now involves a team of 12 researchers working on it, and has been downloaded by hundreds of thousands of users all over the world. Its users range from solitary research students to multinational companies and government institutions. In this talk, I will give an overview of my work with GATE, giving examples of real-life case studies, ranging from analysing polarised opinions in online political debates (Brexit, the UK, French and US elections) through to finding a new cause of cancer by analysing information in the biomedical domain.
Practical Opinion Mining for Social MediaDiana Maynard
This tutorial will introduce the concepts of sentiment analysis and opinion mining from unstructured text in social media, looking at why they are useful and what tools and techniques are available. It will cover both rule-based and machine learning techniques, provide some background information on the key underlying NLP processes required, and look in detail at some of the major problems and solutions, such as detection of sarcasm, use of informal language, spam opinion detection, trustworthiness of opinion holders, and so on. The techniques will be demonstrated with real applications developed in GATE, an open-source language processing toolkit. Links are provided to some hands-on material to try at home.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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!
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
2. What do people think about climate change?
And how much do
we really know
about it?
How do we know
what's really true?
It's cold in my flat
3. The Decarbonet Project
●
Scientists predict adverse consequences to our climate unless
stronger actions are taken
●
Collective awareness about many climate change issues is still
problematic
●
We are exposed to vast amounts of conflicting information
●
Hard to know what is accurate and relevant
●
DecarboNet: “A Decarbonisation Platform for Citizen
Empowerment and Translating Collective Awareness into
Behavioural Change”
●
3-year EU project, started October 2013
4. DecarboNet Objectives
• Raise Individual and Collective
Awareness
• Trigger Behavioural Change and
Foster Social Innovation
• Analyse Behavioural Patterns and
Information Diffusion
5.
6. Social media analysis for climate change
●
What are people tweeting about?
●
NLP tools for the automatic discovery of new insights, by
automatically extracting information from social media.
●
Extracted information can be linked together to form new facts or to
allow new hypotheses to be explored further.
●
What arguments for and against man-made causes of climate
change develop in social media?
●
What impact does this information have?
●
How do people's opinions change over time?
●
What kinds of topics are most engaging for social media users?
9. How can this be used to raise
awareness of climate change?
●
Organisations need to have a better understanding of public perception
of climate change in order to develop campaigns and strategies.
●
Our technology helps them to understand what are the opinions on
crucial topics and events
●
How are these opinions distributed in relation to demographic
user data?
●
How have these opinions evolved?
●
Who are the opinion leaders, and what is their impact and
influence?
●
Helps them to improve their campaigns, better target them
●
Helps improve both the development and marketing of environment-
related tools and technology by better understanding social perception
and behaviour
●
Hard to get this information by traditional means (youGov polls etc)
10. We are all connected to each other...
● Information,
thoughts and
opinions are
shared prolifically
on the social web
these days
● 72% of online
adults use social
networking sites
11. Your grandmother is three times as likely to
use a social networking site now as in 2009
17. Opinion Mining involves finding out what
people think
●
A simple approach would look for positive and negative words in a tweet.
●
e.g. “Climate change is terrible.” “Recycling is a good way to save the
planet.”
●
We could simply collect lists of positive and negative words and
categorise the tweets accordingly.
●
But it's not as simple as that.
18. Language in Social Media is complicated
●
Grundman:politics makes #climatechange scientific
issue,people don’t like knowitall rational voice tellin em wat 2do
●
Want to solve the problem of #ClimateChange? Just #vote for a
#politician! Poof! Problem gone! #sarcasm #TVP #99%
●
Human Caused #ClimateChange is a Monumental Scam!
http://www.youtube.com/watch?v=LiX792kNQeE … F**k yes!!
Lying to us like MOFO's Tax The Air We Breath! F**k Them!
19. Challenges for NLP
●
Noisy language: unusual punctuation, capitalisation, spelling,
use of slang, sarcasm etc.
●
Terse nature of microposts such as tweets
●
Use of hashtags, @mentions etc causes problems for
tokenisation #thisistricky
●
Lack of context gives rise to ambiguities
●
NER performs poorly on microposts, mainly because of linguistic
pre-processing failure
●
Standard NER tools almost halve their performance rate when
used on tweets
22. Lack of context causes ambiguity
Branching out from Lincoln park after dark ...
Hello Russian Navy, it's like the same thing but with glitter!
??
23. Getting the NEs right can be tricky
Branching out from Lincoln park after dark ...
Hello Russian Navy, it's like the same thing but with glitter!
24. “Positive” tweets about fracking
●
Help me stop fracking. Sign the petition to David
Cameron for a #frack-free UK now!
●
I'll take it as a sign that the gods applaud my new anti-
fracking country love song.
●
#Cameron wants to change the law to allow #fracking
under homes without permission. Tell him NO!!!!!
●
Clearly, existing tools don't work very well!
26. Death confuses opinion mining tools
Opinion mining
tools are good for a
general overview,
but not for some
situations
27. Text Analysis with GATE
●
GATE is a toolkit for Natural Language Processing (NLP)
developed at the Univesity of Sheffield for 20 years
●
http://gate.ac.uk
●
components for language processing: parsers, machine learning
tools, stemmers, IR tools, IE components for various languages.
opinion mining
●
tools for visualising and manipulating text, annotations,
ontologies, parse trees, etc.
●
various information extraction tools
●
evaluation and benchmarking tools
28. GATE Components for Opinion Mining
●
TwitIE
●
structural and linguistic pre-processing, specific to
Twitter
●
includes language detection, hashtag retokenisation,
POS tagging, NER
●
Term recognition using TermRaider
●
Sentiment gazetteer lookup
●
JAPE opinion detection grammars
●
Include target and opinion holder detection based on
entities/terms
●
currently positive/negative, extending to emotion
detection (happy/sad/anger/fear etc)
29. Basic approach for opinion finding
●
Find sentiment-containing words in a linguistic relation
with terms/entities (opinion-target matching)
●
life flourishing in Antarctica
●
Dictionaries give a starting score for sentiment words
●
Use a number of linguistic sub-components to deal with
issues such as negatives, adverbial modification, swear
words, conditionals, sarcasm etc.
31. A negative sentiment list
Examples of phrases following the word “go”:
●
down the pan
●
down the drain
●
to the dogs
●
downhill
●
pear-shaped
32. Opinion scoring
●
Sentiment gazetteers (developed from sentiment words in
WordNet) have a starting “strength” score
●
These get modified by context words, e.g. adverbs, swear
words, negatives and so on
amazing campaign --> really amazing campaign.
good campaign --> not so good campaign
●
Swear words modifying adjectives count as intensifiers
good campaign --> damned good campaign
●
Swear words on their own are classified as negative
Damned politicians.
36. A little look at sarcasm
●
Sarcasm is usually about conveying the opposite meaning to the words
we use
●
Frequent hashtags: #sarcasm, #notreally, #whocares, #whoknew, #lol
●
Even knowing it's sarcastic isn't enough unless you now how to interpret
the sarcasm
●
Did you know, trees grow? YEEEEEEE #yee #trees #biodiversity
#wee #igottapee #notreally
●
RT @James_BG: Some lunchtime reading - why golf is an
environmental abomination and MUST BE BANNED
http://t.co/tBs0aGW8bc #notreally.
●
It can be positive as well as negative
●
@jimcramer I hate your energy and knowledge #notreally
Booyah Cramer.
37. Analysis of the EarthHour campaign
●
Analysis of hashtags and
topics mentioned
●
The main activities and themes
of the campaign drove most of
the social media conversations
●
Users engaged in the
campaign but did not
necessarily engage with
climate change and
sustainability issues.
●
Lack of correlation between
Durex campaign and climate
change engagement
38. Engagement Analysis
●
Retweets as the strongest engagement action
●
Identify the characteristics of those tweets that are followed
by
●
an engagement action (retweet)
●
a high level of engagement (high number of retweets)
●
For generating engagement, the content of the tweet is more
relevant than the reputation of the user.
●
This contradicts previous findings in other domains
●
Posts generating attention are slightly longer, easier to read,
have positive sentiment, mention other users and repeat
terminology from other posts
●
People are perhaps bored of hearing doom and gloom about
how the world is going to end?
38
39. Summary
●
Tools for social media analysis could be very useful to
companies and organisations involved in climate change
●
Understanding engagement and user impact of campaigns,
products etc.
●
Also useful to the general public to understand issues better
●
While retweets etc are a useful indicator of engagement, the
key is understanding content of social media posts
●
For this we need in-depth analysis of many language issues
●
NLP can help us understand what is really going on!
41. Acknowledgements and further Information
●
Research partially supported by the European Union/EU under the
Information and Communication Technologies (ICT) theme of the
7th Framework Programme for R&D (FP7) DecarboNet (610829)
http://www.decarbonet.eu
●
GATE website http://gate.ac.uk
●
Opinion mining demo: http://demos.gate.ac.uk/arcomem/opinions/
●
Diana Maynard, Gerhard Gossen, Marco Fisichella, Adam Funk. Should I
care about your opinion? Detection of opinion interestingness and
dynamics in social media. Journal of Future Internet, Special Issue on
Archiving Community Memories, 2014.
●
Diana Maynard and Mark A. Greenwood. Who cares about sarcastic
tweets? Investigating the impact of sarcasm on sentiment analysis. Proc.
of LREC 2014, Reykjavik, Iceland, May 2014.
This document does not represent the opinion of the European Community, and the
European Community is not responsible for any use that might be made of its content