Back in January 2009 I started getting a lot of hashtags in my Twitter feed, this is an article about that phenomenon, how you can use hashtags and what's up with all these retweets. I wrote this article in the January issue 2009 of Urban Lifestyle Report - New Media.
With the rapid growth in users on social networks, there is a corresponding increase in user-generated content, in turn resulting in information overload. On Twitter, for example, users tend to receive un- interested information due to their non-overlapping interests from the people whom they follow. In this paper we present a Semantic Web ap- proach to filter public tweets matching interests from personalized user profiles. Our approach includes automatic generation of multi-domain and personalized user profiles, filtering Twitter stream based on the gen- erated profiles and delivering them in real-time. Given that users inter- ests and personalization needs change with time, we also discuss how our application can adapt with these changes.
User Engagement Teardown: Which Coffee Is The Cream Of The Crop?Iterable
Â
This is an Iterable User Engagement Teardown - focusing on, and comparing, Peet's Coffee & Tea, Philz Coffee and Starbucks.
It analyzes how these companies do user engagement in the first 3 weeks post-signup. This teardown also incorporates social media and engagement. The User Engagement Timeline lets you visualize all engagement, and we evaluate individual emails/push notifications and suggest improvements.
As always, weâve identified things these companies do well and some areas where there is room for improvement. Everything shown in the slides (and any recommendations) can be implemented with Iterable.
We hope you enjoy this teardown as much as you enjoy the coffee from these three great companies!
Semantic user profiling and Personalised filtering of the Twitter streamFabrizio Orlandi
Â
Presentation at Kno.e.sis - Feb 2012.
The presentation describe my current PhD research at DERI and the work done in 5 weeks during a collaboration in Kno.e.sis with Pavan Kapanipathi, Prof. Amit Sheth, Prof. T. K. Prasad and the rest of the group.
- video: http://youtu.be/MmF5HxIVUwA
Back in January 2009 I started getting a lot of hashtags in my Twitter feed, this is an article about that phenomenon, how you can use hashtags and what's up with all these retweets. I wrote this article in the January issue 2009 of Urban Lifestyle Report - New Media.
With the rapid growth in users on social networks, there is a corresponding increase in user-generated content, in turn resulting in information overload. On Twitter, for example, users tend to receive un- interested information due to their non-overlapping interests from the people whom they follow. In this paper we present a Semantic Web ap- proach to filter public tweets matching interests from personalized user profiles. Our approach includes automatic generation of multi-domain and personalized user profiles, filtering Twitter stream based on the gen- erated profiles and delivering them in real-time. Given that users inter- ests and personalization needs change with time, we also discuss how our application can adapt with these changes.
User Engagement Teardown: Which Coffee Is The Cream Of The Crop?Iterable
Â
This is an Iterable User Engagement Teardown - focusing on, and comparing, Peet's Coffee & Tea, Philz Coffee and Starbucks.
It analyzes how these companies do user engagement in the first 3 weeks post-signup. This teardown also incorporates social media and engagement. The User Engagement Timeline lets you visualize all engagement, and we evaluate individual emails/push notifications and suggest improvements.
As always, weâve identified things these companies do well and some areas where there is room for improvement. Everything shown in the slides (and any recommendations) can be implemented with Iterable.
We hope you enjoy this teardown as much as you enjoy the coffee from these three great companies!
Semantic user profiling and Personalised filtering of the Twitter streamFabrizio Orlandi
Â
Presentation at Kno.e.sis - Feb 2012.
The presentation describe my current PhD research at DERI and the work done in 5 weeks during a collaboration in Kno.e.sis with Pavan Kapanipathi, Prof. Amit Sheth, Prof. T. K. Prasad and the rest of the group.
- video: http://youtu.be/MmF5HxIVUwA
Are you listening? Real Time Measurement and MonitoringKlaxon
Â
Presentation delivered by Andrew Walker at Making Social Part of Your DNA, a conference held during Social Media Week 2012 in London.
For more information visit http://www.socialmediadna.co.uk
Are You Listening? Real time data and social mediaAndrew Walker
Â
This presentation was given during social media week london 2012 by Andrew Walker (@killdozer) Co-founder of Tweetminster the network intelligence news feed company.
It talks about practical measures and tools to get real time insight data into your social media presence to get better ROI, ROE and strategic insights into better social media marketing.
Introduction to the Responsible Use of Social Media Monitoring and SOCMINT ToolsMike Kujawski
Â
These are my slides from a custom tool-based demonstration workshop I was asked to do where I went over various free tools that can be used to obtain valuable public data.
Twitter is one of the most talked about social media networks, yet many people donât understand how it works or how to communicate in 140 characters. For businesses, Twitter can be even more daunting with its constant flow of tweets that have the potential to be helpful or damaging. This presentation shows businesses and entrepreneurs how to find success â one tweet at a time.
Webinar: How to Track and Identify Your Social CommunityEric Athas
Â
Yes, social media is great for sending out tweets and posting stuff to Facebook. It can also be a valuable tool for staying on top of whatâs going on in your local area or within your beat. Thereâs an ocean of story ideas, sources, news tips, photos, videos, firsthand breaking news accounts and local voices out there. A lot of it is untapped and below the âmainstreamâ radar.
In this class we present a survey of social media types and some key services. We also discuss reasons for blogging and some provide some writing tips in preparation for your assignments.
Are you listening? Real Time Measurement and MonitoringKlaxon
Â
Presentation delivered by Andrew Walker at Making Social Part of Your DNA, a conference held during Social Media Week 2012 in London.
For more information visit http://www.socialmediadna.co.uk
Are You Listening? Real time data and social mediaAndrew Walker
Â
This presentation was given during social media week london 2012 by Andrew Walker (@killdozer) Co-founder of Tweetminster the network intelligence news feed company.
It talks about practical measures and tools to get real time insight data into your social media presence to get better ROI, ROE and strategic insights into better social media marketing.
Introduction to the Responsible Use of Social Media Monitoring and SOCMINT ToolsMike Kujawski
Â
These are my slides from a custom tool-based demonstration workshop I was asked to do where I went over various free tools that can be used to obtain valuable public data.
Twitter is one of the most talked about social media networks, yet many people donât understand how it works or how to communicate in 140 characters. For businesses, Twitter can be even more daunting with its constant flow of tweets that have the potential to be helpful or damaging. This presentation shows businesses and entrepreneurs how to find success â one tweet at a time.
Webinar: How to Track and Identify Your Social CommunityEric Athas
Â
Yes, social media is great for sending out tweets and posting stuff to Facebook. It can also be a valuable tool for staying on top of whatâs going on in your local area or within your beat. Thereâs an ocean of story ideas, sources, news tips, photos, videos, firsthand breaking news accounts and local voices out there. A lot of it is untapped and below the âmainstreamâ radar.
In this class we present a survey of social media types and some key services. We also discuss reasons for blogging and some provide some writing tips in preparation for your assignments.
Payday on the Social Semantic Web: life would be better if we would embed a fair donation system (similarly to Flattr) into the Web. Thanks to bar codes, also those people can receive donations that do not have Internet access but happen to appear in a YouTube video (or other media)...
Details: http://iswc2011.semanticweb.org/fileadmin/iswc/Papers/outrageous/iswc2011outrageousid_submission_8.pdf
Talk given at the Semantic Web SIKS course 2011: why we need semantics on the Social Web. Three examples: social tagging, user profiling based on Twitter streams and cross-system user profiling (linking user profiles).
Slides presented at ICWE 2011: Learning Semantic Relationships between Entities in Twitter
Supporting web site: http://wis.ewi.tudelft.nl/icwe2011/relation-learning/
Dev Dives: Train smarter, not harder â active learning and UiPath LLMs for do...UiPathCommunity
Â
đĽ Speed, accuracy, and scaling â discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Miningâ˘:
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 â with little to no training required
Get an exclusive demo of the new family of UiPath LLMs â 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:
đ¨âđŤ Andras Palfi, Senior Product Manager, UiPath
đŠâđŤ Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
Â
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Welocme to ViralQR, your best QR code generator.ViralQR
Â
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
Â
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Â
Are you looking to streamline your workflows and boost your projectsâ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, youâre 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 âEssentials of Automationâ 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.
Hereâs what youâll 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.
Weâll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Donât miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
Â
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
Â
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties â USA
Expansion of bot farms â how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks â Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Â
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
Â
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.
Twitter, Twinder, Twitcident: Filtering and Search in Social Web Streams
1. Twitter, Twinder, Twitcident: Filtering
and Search on Social Web Streams
Data Bridges Workshop, Inria, Paris, April 12th 2012
Fabian Abel, Claudia Hauff, Geert-Jan Houben,
Richard Stronkman, Ke Tao
Web Information Systems, TU Delft, the Netherlands
Delft
University of
Technology
2. 200,000,000
number of tweets published per day
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 2
3. Pukkelpop 2011
People tweet about everything,
everywhere :-)
3
5. Challenges
1. (Automatic) Filtering: Given a topic (e.g. expressed via
some keywords), how can one automatically identify
those tweets that are relevant to the topic?
2. Search & Browsing: How can one improve search and
browsing capabilities so that users can explore
information in the streams of tweets (that are relevant for
a topic)?
Twinder
Filtering
Search & filtering
Browsing and search
framework
Twitter streams
topic information need
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 5
6. Search &
Filtering
Browsing
Twitter streams
topic information need
1. Filtering of Twitter streams
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 6
7. Filtering onTwitter
Query:
www2012
Typical approach:
Keyword-based
matching
Are there further features that can be used as
indicators for estimating the relevance of a tweet
for a topic?
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 7
8. Syntactical feature: hashtags
Is a tweet more relevant ifitcontains a #hashtag?
Hypothesis: tweets that contain hashtags are more likely
to be relevant than tweets that do not contain hashtags.
ďźHashtag
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 8
9. Syntactical feature: URLs
Is a tweetthatcontains a URL more relevant?
Hypothesis: tweets that contain a URL are more likely to
be relevant than tweets that do not contain a URL.
URL
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 9
10. Syntactical feature: âmentionsâ
Is a tweetthatmentions@somebodymore relevant?
Hypothesis: tweets that are formulated as a reply to another
tweet are less likely to be relevant than other tweets.
Reply
@mention
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 10
11. Syntacticalfeature: length
Does the length of a tweetinfluenceitsrelevancefor a topic?
54 characters (9 words)
vs.
140 characters (20 words)
Hypothesis: the longer a tweet, the more likely it is to be
relevant and interesting.
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 11
12. Overview of features
Topic-sensitive and topic-insensitive features
Topic sensitive Topic insensitive
Keyword-based
Syntactical features
relevance
What about the semantics?
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 12
13. Semanticfeatures: number of entities
Findsemantics in a tweettoestimate the relevance
dbp:Tim_Berners-Lee dbp:World_Wide_Web
dbp:WWW_Conference dbp:France
dbp:Lyon
Hypothesis: the more entities a tweet mentions, the more
likely it is to be relevant and interesting.
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 13
14. Semanticfeatures: diversity
The types of entitiesthat are featuredby a tweet matter
Place Place Place Place
Person Thing
vs. I plan to visit
Paris, Bordeaux, Grenoble, Nice, Marseille and
Lyon.
Event Place
Place Place Place
Hypothesis: the higher the diversity of entities that are
mentioned in a tweet, the more likely it is to be relevant.
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 14
15. Semanticfeatures: sentiment
Opinionsexpressed in tweets are interesting
Looking forward to the WWW
conference :-) Yes! vs. I plan to visit Paris, Bordeaux,
vs.
Grenoble, Nice, Marseille and Lyon.
Why are the big players not releasing
query logs to the WWW community? :-(
#fail
:-) neutral :-(
Hypothesis: the likelihood of a tweetâs relevance is
influenced by its sentiment polarity.
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 15
16. Semanticrelatedness
Exploitsemantics to relate query withtweets
dbp:International_World_Wide_Web_Conference
dbp:Tim_Berners-Lee
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 16
17. Overview of features
Bynow, we have 4 types of features.
Topic sensitive Topic insensitive
Keyword-based Syntactical
Semantic-based Semantics
Context? Context?
What kind of contextual features
might be helpful?
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 17
18. Contextual feature: authority of the publisher
Itmatterswhopublished a tweet
Hypothesis: the higher the number of tweets that have
been published by the creator of a tweet, the more likely
it is that the tweet is relevant.
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 18
19. Contextual feature: time w.r.t. query
When was a tweetpublished?
Hypothesis: the lower the temporal distance between the
query time and the creation time of a tweet, the more likely
is the tweet relevant to the topic.
Tweet query
March 31 April 16
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 19
20. Summary of Features
Topic sensitive Topic insensitive
Keyword-based Syntactical
Semantic-based Semantics
Context-based Context
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 20
21. Results
Achievedfor the TREC MicroblogChallenge
Features Precision Recall F-measure
keyword relevance 0.3040 0.2924 0.2981
without semantics
semantic relevance 0.3363
0.3053 0.4828
0.2931 0.3965
0.2991
all features 0.3674 0.4736 0.4138
Overall, we can achieve the precision and
recall of over 35% and 45% respectively by
applying all the features.
Challenge the future 21
22. Importance of Features
Topic-sensitive Topic-insensitive
2 2
Keyword-based Syntactical
1 1
0 0
Keyword-based relevance hasHashtag hasURL isReply length
-1 -1
2 2
1
Semantic-based 1
Semantics
0 0
Relevance Relatedness #entities diversity sentiment
-1 -1
Semantic relatedness, URLs, !isReply, diversity and
2
Context-based Context
2
sentiment are good indicators for estimating the
1 1
0 0
relevance of a tweet.
-1
Temporal context
Keyword-based relevance
-1
Social context
Keyword-based relevance
Challenge the future 22
23. Search &
Filtering
Browsing
Twitter streams
topic information need
2. Search & Browsing in Twitter Streams
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 23
24. Idea: Faceted Search
Expand Query: Current Query:
Suggestions: Eindhoven Music
+ Guilty Simpson
+ Area51 Results:
1. Yskiddd: Next saturday
Locations more... @thatsimpsonguy aka Guilty Simpson
will be performing at Area51 in my
Events more... homeytown Eindhoven. #realliveshit
#iwillspinrecords2
Music Artists: 2. Usee123: Cool #EV3door7980 !!!
+ Guilty Simpson http://bit.ly/igyyRhL
+ Bryan Adams
+ Elton John 3. sanmiquelmusic: This Saturday I'm
joining @KrusadersMusic to Intents
+ Golden Earring
more...
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 24
25. Adaptive Faceted Search
user
Adaptive Faceted Search
How to adapt the
How to represent facet-value pair
the content of a ranking to the
User and Context Modeling
tweet? current demands of
ď facet extraction the user?
ď query suggestions
Semantic Enrichment
Twitter posts
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 25
26. Facet Extraction and Semantic Enrichment
powered by
Julian Assange
@bob: Julian Assange got Tweet-based
arrested enrichment
Julian Assange
Julian Assange
Julian Assange arrested Link-based
London Julian Assange, the founder of
Julian Assange enrichment
WikiLeaks, is under arrest in
WikiLeaks
LondonâŚ
London
WikiLeaks
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 26
27. Faceted-search vs. hashtag-based
(keyword) search
Faceted search based on
semantic enrichment of
tweets outperforms
hashtgag-based search
significantly.
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 27
28. Impact of link-based enrichment
Personalized strategy
outperforms baseline
significantly
Link-based enrichment
improves quality for both
strategies
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 28
29. Twitcident application
Search &
Filtering
Browsing
Twitter streams
topic information need
Twitcident: Applying filter & search functionality
for distilling information from Twitter during
incidents (e.g. fires, extreme weather situations)
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 29
34. Could we see it coming?
Popular artist
made a joke Impact
about the weather storm
Term usage 25 minutes before the incident
1. heavy weather, hail balls, lightning, pitch blackâŚ
2. drama, panic, hell, serious, extremeâŚ
â â
34
37. Summary
Automatic Filtering of Tweets: [#MSM@WWW â12]
⢠Topic-sensitive and topic-insensitive features
⢠Semantic features (semantic relatedness, diversity, sentiment
are beneficial)
Search and browsing: [ISWC â11]
⢠Faceted Search
⢠Personalization & contextualization helps
Application: [Hypertext â12, Demo@WWWâ12]
⢠Twitcident: fulfilling information needs during incidents
Future works:
⢠Weak signal detection based on tweets
⢠Duplicate detection
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 37
38. Thank you!
@fabianabel
http://wis.ewi.tudelft.nl/
Twitter, Twinder, Twitcident: Filtering and Search on Social Web Streams 38
Eet en drankbonnent.w.v. 75 a 100 euro beschikbaarstellen.
Eet en drankbonnent.w.v. 75 a 100 euro beschikbaarstellen.
Traditional Twitter SearchHighlight what does keyword matching means, the keywords, in search query and tweets.
Title -> syntactical featuresBox in the tweetGreen boxes for the hypothesesFlow from keyword-based relevance to ⌠Slide 5-8, flow
Subtitle -> question?
Introduction to the usage of @, including mentions, and reply. Reply tweets frequently occur in private conversations. Therefore particularly, make a hypothesis about reply tweet.
The 21st International World Wide Web Conference #www2012 will take place in Lyon, France April 16-20 2012 @www2012Lyon www2012.wwwconference.orgSubtitle questionOne short, one longcomparison
Fade in the question later.
Fade in the entities one by one.
Fade in the entities one by one.
Fade in the entities one by one.
Not highlight www, lyon, france
18Can we utilize the contextual features.
Titles,
Timeline
Number of features.
ComparisonFade in the pairsHighlightTextbox -> Conclusion, (precision)
Very time consuming and overwhelming indeed!
entity extraction and semantic enrichment and relation discovery.
Eet en drankbonnent.w.v. 75 a 100 euro beschikbaarstellen.
Case #1: vroegsignalering
Case 1:handhaving (beeldrondom incident)
Our framework extracts typed entities from enriched tweets/news and provides strategies for detecting semantic (trending) relationships between entities. We:investigated the precision and recall of the relation detection strategies,analyzed how the strategies perform for each type of relationships andWhich strategy performs best in detecting relationships between entities?Does the accuracy depend on the type of entities which are involved in a relation?How do the strategies perform for discovering relationships which have temporal constraints, and how fast can the strategies detect (trending) relationships?evaluated the quality and speed for discovering trending relationships that possibly have a limited temporal validity.