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<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
	http://creativecommons.org/licenses/by/2.0/ or send a letter to
	Creative Commons, 559 Nathan Abbott Way, Stanford, California
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 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/twitter/?t=twitter">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tag/html/twitter/?t=twitter]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for twitter]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/470/Responsive-design-with-Twitter-Bootstrap-a-tutorial-and-demonstration"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/459/MS-defense-Social-Media-Analytics-Digital-Footprints"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/453/Social-Media-Analytics-Digital-Footprints"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/426/Visiting-students-presentations-Social-Media-Analytics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/420/Masters-Thesis-Research-Update-Anurag-Dibjyajyoti-and-Sumit"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/402/Estimating-Temporal-Boundaries-For-Events-Using-Social-Media-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/397/Community-Detection-in-Twitter"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/81/Twitterment"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1019/Quantum-Assisted-Greedy-Algorithms"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1016/Continuously-Generalized-Ordinal-Regression-for-Linear-and-Deep-Models"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/999/CyBERT-Contextualized-Embeddings-for-the-Cybersecurity-Domain"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/924/Independent-Component-Analysis-for-Trustworthy-Cyberspace-during-High-Impact-Events-An-Application-to-Covid-19"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/877/Two-Tier-Analysis-of-Social-Media-Collaboration-for-Student-Migration"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/760/Other-Times-Other-Values-Leveraging-Attribute-History-to-Link-User-Profiles-across-Online-Social-Networks"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/247/A-Different-Kind-of-Social-Physics"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/328/Community-Detection-in-Twitter"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/329/Community-Detection-in-Twitter"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/297/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/280/Understanding-RSM-Relief-Social-Media"/>
    </rdf:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/470/Responsive-design-with-Twitter-Bootstrap-a-tutorial-and-demonstration">
  <title><![CDATA[Responsive design with Twitter Bootstrap: a tutorial and demonstration]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/470/Responsive-design-with-Twitter-Bootstrap-a-tutorial-and-demonstration</link>
  <description><![CDATA[Does your webpage look like its from the 90's? Does it scale well on mobile devices or do you have to finger skate on your the mobile device to navigate the page? Or worse! Do you still not have a personal portfolio page? If the answer is yes, then its time create or update your webpage! With a front end framework like Twitter Bootstrap, you can make a quick upgrade to beautiful, modern and most importantly responsive design for your portfolio page.

The presentation will start with a b...]]></description>
  <dc:date>2014-10-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/459/MS-defense-Social-Media-Analytics-Digital-Footprints">
  <title><![CDATA[MS defense: Social Media Analytics: Digital Footprints]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/459/MS-defense-Social-Media-Analytics-Digital-Footprints</link>
  <description><![CDATA[In this work we describe an approach to distinguish real and impostor/ compromised accounts on social media. Compromising a user's social media account is not only a breach of security, but can also lead to dissemination of misinformation at a fast pace on social media. There have been several such high profile attacks recently, including on Twitter feeds of AP, CBS, and Delta Airlines. A fake account for the Prime Minister's Office in India was used to spread malicious rumors last year. Our ...]]></description>
  <dc:date>2013-05-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/453/Social-Media-Analytics-Digital-Footprints">
  <title><![CDATA[Social Media Analytics: Digital Footprints]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/453/Social-Media-Analytics-Digital-Footprints</link>
  <description><![CDATA[Social media has greatly impacted the way we communicate today. With approximately 3000 tweets/sec and 55 million FB status updates a day, it is a great way to disseminate information to users across the world.  However such a tool can also be used to disseminate misinformation in a quick and efficient manner which can have a harmful impact in multiple scenarios like national security cases, or business/marketing cases and hence needs to be curbed and kept in check. Our approach involves crea...]]></description>
  <dc:date>2013-04-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text">
  <title><![CDATA[Information Extraction of Security related entities and concepts from unstructured text]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/451/Information-Extraction-of-Security-related-entities-and-concepts-from-unstructured-text</link>
  <description><![CDATA[Cyber Security has been a big concern especially in past one decade where it is witnessed that targets ranging from large number of internet users to government agencies are being attacked because of vulnerabilities present in the system. Even though these vulnerabilities are identified and published publicly but response has always been slow in covering up these vulnerabilities because there is no automatic mechanism to understand and process this unstructured text that is published on inter...]]></description>
  <dc:date>2013-04-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media">
  <title><![CDATA[Privacy and Security in Online Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/448/Privacy-and-Security-in-Online-Social-Media</link>
  <description><![CDATA[With increase in usage of the Internet, there has been an exponential increase in the use of online social media on the Internet. Websites like Facebook, Google+, YouTube, Orkut, Twitter and Flickr have changed the way Internet is being used. There is a dire need to investigate, study and characterize privacy and security on online social media from various perspectives (computational, cultural, psychological). Real world scalable systems need to be built to detect and defend security and pri...]]></description>
  <dc:date>2013-03-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/426/Visiting-students-presentations-Social-Media-Analytics">
  <title><![CDATA[Visiting students' presentations - Social Media Analytics]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/426/Visiting-students-presentations-Social-Media-Analytics</link>
  <description><![CDATA[This week's ebiquity lab meeting will comprise of presentations by the visiting PhD students from India - Aditi Gupta and Paridhi Jain.


Aditi will present 'Mining online social media (Twitter) content during crisis events'.



Abstract: Online social media provides people with a platform to disseminate ideas, learn information, explore knowledge, and express their opinions on diverse topics. Especially during crisis and emergency situations, there is a sudden rise in activity over th...]]></description>
  <dc:date>2012-02-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/420/Masters-Thesis-Research-Update-Anurag-Dibjyajyoti-and-Sumit">
  <title><![CDATA[Masters Thesis Research Update - Anurag, Dibjyajyoti and Sumit]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/420/Masters-Thesis-Research-Update-Anurag-Dibjyajyoti-and-Sumit</link>
  <description><![CDATA[In this week's lab meeting, Anurag Korde, Dibyajyoti Ghosh and Sumit More will give an update on how their Masters thesis research is progressing. 

Anurag will talk about "Entity Linking and Disambiguation for Smartphone platforms". With increasing number of social networks, smartphones and applications there is a need of creating a framework for information integration across social networks and applications and create an unified record for each person/entity. The problem in information i...]]></description>
  <dc:date>2011-12-06</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms">
  <title><![CDATA[Masters Thesis Research Proposal : Entity Linking and Disambiguation for Smartphone platforms]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/413/Masters-Thesis-Research-Proposal-Entity-Linking-and-Disambiguation-for-Smartphone-platforms</link>
  <description><![CDATA[With increasing number of social networks, smartphones and applications there is a need of creating a framework for information integration across social networks and applications and create an unified record for each person/entity. The problem in information integration is that of entity disambiguation. It determines whether two objects in an ontology refer to same real world object. This will enable system to learn a large amount of contextual information. I will be extending]]></description>
  <dc:date>2011-10-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/402/Estimating-Temporal-Boundaries-For-Events-Using-Social-Media-Data">
  <title><![CDATA[Estimating Temporal Boundaries For Events Using Social Media Data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/402/Estimating-Temporal-Boundaries-For-Events-Using-Social-Media-Data</link>
  <description><![CDATA[MS Thesis Defense


Social media websites like Twitter, Flickr and YouTube generate a high volume of user generated content as a major event occurs. Our goal is to automatically determine as accurately as possible when an event starts and when it ends by analyzing the content of social media data. Estimating these temporal boundaries segments the event-related data into three major phases: the buildup to the event, the event itself, and the post-event effects and repercussions.
We describ...]]></description>
  <dc:date>2011-06-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/397/Community-Detection-in-Twitter">
  <title><![CDATA[Community Detection in Twitter]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/397/Community-Detection-in-Twitter</link>
  <description><![CDATA[Mohit Kewalramani will defend his MS thesis titled "Community Detection in Twitter".
 
Twitter has evolved into a source of social, political and real time information in addition to being a means of mass-communication and marketing. Monitoring and analyzing information on Twitter can lead to invaluable insights, which might otherwise be hard to get using conventional media resources. An important task in analyzing highly networked information sources like twitter is to identify communities...]]></description>
  <dc:date>2011-05-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/81/Twitterment">
  <title><![CDATA[Twitterment]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/81/Twitterment</link>
  <description><![CDATA[Twitterment is a search engine for the Twitter microblogging system.]]></description>
  <dc:date>2007-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1019/Quantum-Assisted-Greedy-Algorithms">
  <title><![CDATA[Quantum-Assisted Greedy Algorithms]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1019/Quantum-Assisted-Greedy-Algorithms</link>
  <description><![CDATA[We show how to leverage quantum annealers (QAs) to better select candidates in greedy algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics for making locally optimal choices at each stage, we use QAs that sample from the ground state of problem-dependent Hamiltonians at cryogenic temperatures and use retrieved samples to estimate the probability distribution of problem variables. More specifically, we look at each spin of the Ising model as a random variab...]]></description>
  <dc:date>2022-07-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1016/Continuously-Generalized-Ordinal-Regression-for-Linear-and-Deep-Models">
  <title><![CDATA[Continuously Generalized Ordinal Regression for Linear and Deep Models]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1016/Continuously-Generalized-Ordinal-Regression-for-Linear-and-Deep-Models</link>
  <description><![CDATA[Ordinal regression is a classification task where classes have an order and prediction error increases the further the predicted class is from the true class. The standard approach for modeling ordinal data involves fitting parallel separating hyperplanes that optimize a certain loss function. This assumption offers sample efficient learning via inductive bias, but is often too restrictive in real-world datasets where features may have varying effects across different categories. Allowing cla...]]></description>
  <dc:date>2022-04-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs">
  <title><![CDATA[Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1006/Combating-Fake-Cyber-Threat-Intelligence-using-Provenance-in-Cybersecurity-Knowledge-Graphs</link>
  <description><![CDATA[Today there is a significant amount of fake cybersecurity related intelligence on the internet. To filter out such information, we build a system to capture the provenance information and represent it along with the captured Cyber Threat Intelligence (CTI). In the cybersecurity domain, such CTI is stored in Cybersecurity Knowledge Graphs (CKG). We enhance the exiting CKG model to incorporate intelligence provenance and fuse provenance graphs with CKG. This process includes modifying tradition...]]></description>
  <dc:date>2022-01-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/999/CyBERT-Contextualized-Embeddings-for-the-Cybersecurity-Domain">
  <title><![CDATA[CyBERT: Contextualized Embeddings for the Cybersecurity Domain]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/999/CyBERT-Contextualized-Embeddings-for-the-Cybersecurity-Domain</link>
  <description><![CDATA[We present CyBERT, a domain-specific Bidirectional Encoder Representations from Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data. State-of-the-art natural language models that can process dense, fine-grained textual threat, attack, and vulnerability information can provide numerous benefits to the cybersecurity community. The primary contribution of this paper is to provide the security community with an initial fine-tuned BERT model that can perform a v...]]></description>
  <dc:date>2021-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks">
  <title><![CDATA[Cybersecurity Knowledge Graph Improvement with Graph Neural Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1009/Cybersecurity-Knowledge-Graph-Improvement-with-Graph-Neural-Networks</link>
  <description><![CDATA[Cybersecurity Knowledge Graphs (CKGs) help in
aggregating information about cyber-events. CKGs combined
with reasoning and querying systems such as SPARQL enable
security researchers to look up information about past cyberevents
that is helpful in understanding future cyber-events or
drawing similarity with a known cyber-event recorded in a
CKG. CKGs have assertions in the form of semantic triples. The
triples describe a relationship between a subject and object, both
of which are cyb...]]></description>
  <dc:date>2021-12-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers">
  <title><![CDATA[Multi-Qubit Correction for Quantum Annealers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/986/Multi-Qubit-Correction-for-Quantum-Annealers</link>
  <description><![CDATA[We present multi-qubit correction (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open system as a Gibbs sampler and reduces a set of excited states to a new synthetic state with a lower energy value.  After sampling from the ground state of a given (Ising) Hamiltonian, MQC compares pairs of excited states to recognize virtual tunnels — i.e., a group of qubits that changing their states simultaneously can result in a new state with a lower energy ...]]></description>
  <dc:date>2021-07-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling">
  <title><![CDATA[Understanding Cybersecurity Threat Trends through Dynamic Topic Modeling]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/981/Understanding-Cybersecurity-Threat-Trends-through-Dynamic-Topic-Modeling</link>
  <description><![CDATA[Cybersecurity threats continue to increase and are impacting almost all aspects of modern life. Being aware of how vulnerabilities and their exploits are changing gives helpful insights into combating new threats. Applying dynamic topic modeling to a timestamped cybersecurity document collection shows how the significance and details of concepts found in them are evolving.  We correlate two different temporal corpora, one with reports about specific exploits and another with research-oriented...]]></description>
  <dc:date>2021-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/924/Independent-Component-Analysis-for-Trustworthy-Cyberspace-during-High-Impact-Events-An-Application-to-Covid-19">
  <title><![CDATA[Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/924/Independent-Component-Analysis-for-Trustworthy-Cyberspace-during-High-Impact-Events-An-Application-to-Covid-19</link>
  <description><![CDATA[Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating social unrest, curtailing the spread of misinformation during such events is a significant data challenge. While recent solutions that are based on machine learning have shown promise for the detection of misinformation, most widely used methods include approaches that rely on either handcrafted features that cannot...]]></description>
  <dc:date>2020-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/877/Two-Tier-Analysis-of-Social-Media-Collaboration-for-Student-Migration">
  <title><![CDATA[Two Tier Analysis of Social Media Collaboration for Student Migration]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/877/Two-Tier-Analysis-of-Social-Media-Collaboration-for-Student-Migration</link>
  <description><![CDATA[Global adoption of Social Media as the preferred medium for collaboration and information exchange is increasingly reshaping social realities and facilitating new research methodologies in various disciplines. Social Media applications are collecting a large amount of User-Generated Content (UGC) and web data that contains knowledge about novel approaches of global collaboration between people. We have done a detailed study of the factors that lead to student migration, as espoused by social ...]]></description>
  <dc:date>2019-12-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/760/Other-Times-Other-Values-Leveraging-Attribute-History-to-Link-User-Profiles-across-Online-Social-Networks">
  <title><![CDATA[Other Times, Other Values: Leveraging Attribute History to Link User Profiles across Online Social Networks]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/760/Other-Times-Other-Values-Leveraging-Attribute-History-to-Link-User-Profiles-across-Online-Social-Networks</link>
  <description><![CDATA[Profile linking is the ability to connect profiles of a user on different social networks. Linked profiles can help companies to build psychographics of its potential customers and segment them for targeted marketing in a cost-effective way, can help advertisers target personalized ads and can help security practitioners capture detailed characteristics of malicious / fraudulent users. Existing methods link profiles by observing high similarity between most recent (current) values of the attr...]]></description>
  <dc:date>2016-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/247/A-Different-Kind-of-Social-Physics">
  <title><![CDATA[A Different Kind of Social Physics]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/247/A-Different-Kind-of-Social-Physics</link>
  <description><![CDATA[Everyday, tens of millions of people chat, text, email, poke, twitter, IM and facebook (and, yes, that is a verb). They do what people have always done: they make friends and mark enemies, they assert and seek status, they look for affirmation and for connection, they check out the competition and, above all, they seek the comfort of community. Contrary to earlier predictions, people do not undertake revolutionary, unheard of acts just because the medium is new. In fact, the rise of social co...]]></description>
  <dc:date>2008-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text">
  <title><![CDATA[Coarse and Fine Grained Sentiment Analysis of Online Text]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/298/Coarse-and-Fine-Grained-Sentiment-Analysis-of-Online-Text</link>
  <description><![CDATA[Sentiment analysis - the automated extraction of expressions of positive and negative attitudes from text - has received a great amount of attention over the last ten years. Over the same period, via the widespread growth in the use of what we have come to call social media, there has been an explosion in the amount of publically available user generated text on the Web. This text has the potential of providing a source of real time, time tagged sentiments from people all over the globe.

T...]]></description>
  <dc:date>2010-05-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/328/Community-Detection-in-Twitter">
  <title><![CDATA[Community Detection in Twitter]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/328/Community-Detection-in-Twitter</link>
  <dc:date>1999-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/329/Community-Detection-in-Twitter">
  <title><![CDATA[Community Detection in Twitter]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/329/Community-Detection-in-Twitter</link>
  <dc:date>1999-11-30</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/297/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data">
  <title><![CDATA[Improving Accuracy of Named Entity Recognition on Social Media Data]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/297/Improving-Accuracy-of-Named-Entity-Recognition-on-Social-Media-Data</link>
  <description><![CDATA[We present a system for improving the accuracy of one NLP technique, Named Entity Recognition or NER, on Twitter data by training a recognizer specifically for this type of data.  This training data is obtained from the Amazon Mechanical Turk crowdsourcing platform.]]></description>
  <dc:date>2010-05-08</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/280/Understanding-RSM-Relief-Social-Media">
  <title><![CDATA[Understanding RSM: Relief Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/280/Understanding-RSM-Relief-Social-Media</link>
  <description><![CDATA[This presentation describes a new ONR-sponsored two-year research project
'Understanding RSM: Relief Social Media' that we are beginning in
conjunction with colleagues at the Lockheed Martin Advanced Technology
Laboratory.  The RSM project is aimed at helping to detect and monitor
information about crises and associated relief efforts from online
sources including both social media and main stream media.

There has been a dramatic rise in the use of online social media
systems like Tw...]]></description>
  <dc:date>2009-09-15</dc:date>
 </item>
</rdf:RDF>
