Making Sense of Microposts (#MSM2011)
Big things come in small packages
30 May 2011. Heraklion, Crete
News
- 2011-06-01: The Best Paper Award, sponsored by WeGov project, has been given to the paper Automatic Detection of Political Opinions in Tweets by Diana Maynard and Adam Funk.
- 2011-05-12: The workshop programme is out. Check it out here.
- 2011-05-10: The workshop proceedings are published. They are freely available at http://ceur-ws.org/Vol-718
- 2011-04-14: We invite you to sbumit your innovative ideas and late breaking results as Posters and Demos. Please see the Posters & Demos Call.
- 2011-04-07: We have accepted 9 papers (2 short and 7 full papers) out of 19 submission. The list of accepted papers is available below.
- 2011-02-28: Due to high number of requests for deadline extension, we have decided to extend the deadline for submissions to the 14th of March. However, please do submit abstracts for your papers until the 4th of March to help us accelerate the reviewing process.
- 2011-02-15: Selected papers from the workshop will be invited for publishing in the LNCS volume "ESWC 2011 Workshop Highlights"
- 2011-01-21: The best paper award will be sponsored by WeGov project.
- 2010-12-23: MSM2011 accepted as a workshop at ESWC 2011
Motivation
With the appearance and expansion of Twitter, Facebook Like, Foursquare, and similar low-effort publishing services, the effort required to participate on the Web is getting lower and lower. Enormous quantities of small user input are being piped into the data streams of the Web, leading to a rate of growth which has never been witnessed before. We refer to such small user inputs as Microposts, these can range from 'checkin' at a location on a geo-social networking site - allowing users to inform their friends of their current location - through to a status update on a social networking platform. The production of such masses of data, combined with the disparate and heterogeneous nature of the topics which Microposts refer to, requires new techniques to glean knowledge from them and provide useful services and applications sitting atop the amalgamation of this data.
This workshop: "Making Sense of Microposts" (MSM), will cover the topics of: information extraction and leveraging of semantics from Microposts; making use of Microposts' semantics; and social studies related to Microposts that could help build appealing new systems based on this type of data. The workshop has two main points of difference from existing Social Semantic Web workshops which partially treat Microposts: (a) the interdisciplinary nature and interest to bring together the Social Sciences and Semantic Web research; (b) the focus on Microposts' usage in making appealing tools for Web users and showing how the Semantic Web makes a difference in those applications. One of the main goals of MSM is to bring together the researchers from various disciplines treating the question of Microposts from different angles. We are particularly interested in submissions describing theories from the Social Sciences related to the creation and potential usage of Microposts that could inspire the creation of data structures, ontologies and finally interfaces that make advanced use of Microposts. We also envisage submissions that describe the application of Semantic Web technologies, either in enabling the inference of new facts, or the gleaning and enriching of knowledge from collections of such data.
Topics of Interest
We wish to encourage submissions from, but are not limited to, the following topics of interest:
- Microposts and Semantic Web technologies
- Knowledge Discovery and Information Extraction
- Factual Inference
- Ontology/vocabulary modelling and learning from Microposts
- Integrating Microposts into the Web of Linked Data
- Social/Web Science studies
- Analysis of Micropost data patterns
- Motivations for creating and consuming Microposts
- Relevance of Microposts and factors that influence them
- Community/network analysis of Micropost dynamics
- Ethics/privacy implications of publishing and consuming Microposts
- Context
- Utilising context (time, location, feeling)
- Contextual inference mechanisms
- Social awareness streams and Online Presence
- Event Detection
- Applying Microposts
- User profiling/recommendation/personalization approaches using Microposts
- Public opinion mining
- Trend prediction
- Expertise finding
- Business analysis/market scanning
- Emergency systems
- Urban sensing and location-based applications
Submissions
We welcome the following submission types:
- Full papers: 12 pages
- Short and position papers: 6 pages
- Demos: 2 pages
- Mock-up interfaces: a picture or video (with 90 second limit) + 2 page description, demonstrating innovative use of Microposts' semantics, or demonstrating usages that are derived from Social Science or Human-Computer Interaction and Design theories.
Submissions will be formatted using the Springer Publications format for Lecture Notes in Computer Science (LNCS). Submissions will be made using EasyChair Conference System, and proceedings of the papers will be provided through the CEUR online service. All submissions should be sent in pdf format.
To submit your paper, please go to the #MSM2011 EasyChair page https://www.easychair.org/conferences/?conf=msm2011
Workshop Programme
-
9:00 – 9:15: Welcome and Introduction
9:15 – 9:50: Information Diffusion and Influence
- 9:15 – 9:35: (FULL PAPER)
- Citation Analysis in Twitter: Approaches for Defining and Measuring Information Flows within Tweets during Scientific Conferences
Katrin Weller, Evelyn Dröge and Cornelius Puschmann
Abstract
This paper investigates Twitter usage in scientific contexts, particularly the use of Twitter during scientific conferences. It proposes a methodology for capturing and analyzing citations/references in Twitter. First results are presented based on the analysis of tweets gathered for two conference hashtags.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{weller.ea:2011,
author = {Katrin Weller and Evelyn Dr\"oge and Cornelius Puschmann},
title = {Citation Analysis in Twitter: Approaches for Defining and Measuring Information Flows within Tweets during Scientific Conferences},
crossref = {proc_msm2011@eswc2011},
pages = {1--12},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
keywords = {Twitter; microblogging; tweets; citation analysis; informetrics},
url = {http://ceur-ws.org/Vol-718/paper_04.pdf},
}
- 9:35 – 9:50: (SHORT PAPER)
- Making Sense of Location-based Micro-posts Using Stream Reasoning
Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Lee, Stanley Park, Volker Tresp
Abstract
Consider an urban environment and think to its semi-public realms (e.g., shops, bars, visitors attractions, means of transportation). Who is the maven of a district? How fast and how broad can such maven influence the opinions of others? These are just few of the questions BOTTARI (our Location-based Social Media Analysis mobile app) is getting ready to answer. In this position paper, we recap our investigation on deductive and inductive stream reasoning for social media analysis, and we show how the results of this research form the underpinning of BOTTARI.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{celino.ea:2011,
author = {Irene Celino and Daniele Dell'Aglio and Emanuele Della Valle and Yi Huang and Tony Lee and Stanley Park and Volker Tresp},
title = {Making Sense of Location Based Micro-posts Using Stream Reasoning},
crossref = {proc_msm2011@eswc2011},
pages = {13--18},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
url = {http://ceur-ws.org/Vol-718/paper_05.pdf},
}
9:50 – 10:30: Entity Extraction and Semantics I
- 9:50 – 10:10: (FULL PAPER)
- Extracting Semantic Entities and Events from Sports Tweets
Smitashree Choudhury, John Breslin
Abstract
Large volumes of user-generated content on practically every major issue and event are being created on the microblogging site Twitter. This content can be combined and processed to detect events, entities and popular moods to feed various knowledge-intensive practical applications. On the downside, these content items are very noisy and highly informal, making it difficult to extract sense out of the stream. In this paper, we exploit various approaches to detect the named entities and significant micro-events from users' tweets during a live sports event. Here we describe how combining linguistic features with background knowledge and the use of Twitter-specific features can achieve high, precise detection results (f-measure = 87\%) in different datasets. A study was conducted on tweets from cricket matches in the ICC World Cup in order to augment the event-related non-textual media with collective intelligence.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{choudhury.ea:2011,
author = {Smitashree Choudhury and John Breslin},
title = {Extracting Semantic Entities and Events from Sports Tweets},
crossref = {proc_msm2011@eswc2011},
pages = {22--32},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
url = {http://ceur-ws.org/Vol-718/paper_17.pdf},
}
- 10:10 – 10:30: (FULL PAPER)
- Follow Me: Capturing Entity-Based Semantics Emerging from Personal Awareness Streams
Amparo E. Cano, Simon Tucker, Fabio Ciravegna
Abstract
Social activity streams provide information both about the user's interests and about the way in which they engage with real world entities. Recent research has provided evidence of the presence of emergent semantics in such streams. In this work, we explore whether the online discourse of user's social activities can convey meaningful contextual information. We introduce a user-centric methodology based on tensor analysis for deriving personal vocabularies given an entity-based context. By extracting entities (e.g. location, organisation, people) from the user's stream content, we explore the data structures that emerge from the user's interrelationship with these entities. Our experimental results revealed that the simultaneous correlation of entities leads to the identification of concepts which are relevant to the user given a specific context. This methodology is relevant for mobile application designers (1) in fostering user entity-based ontologies for merging user context in pervasive environments, (2) for personalising entity-based recommendations.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{cano.ea:2011,
author = {Amparo E. Cano and Simon Tucker and Fabio Ciravegna},
title = {Follow Me: Capturing Entity-Based Semantics Emerging from Personal Awareness Streams},
crossref = {proc_msm2011@eswc2011},
pages = {33--44},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
keywords = {linked data streams; social awareness streams; microblogging; context},
url = {http://ceur-ws.org/Vol-718/paper_08.pdf},
}
10:30 – 11:00: Tea Break and posters/demos
-
Poster & Demo: A Tweet Consumers' Look At Twitter Trends
- Thomas Steiner, Arnaud Brousseau and Raphaël Troncy
Abstract
The Twitter Trends feature allows for a global or local view on "what's happening in my world right now" from a tweet producers' point of view. In this paper, we show the possibility to complete the functionality provided by Twitter Trends via having a closer look at the other side: the tweet consumers' – i.e., readers – point of view. While Twitter Trends works by analyzing the frequency of terms and their velocity of appearance in tweets being written, our approach is based on the popularity of extracted named entities (in the sense of Linked Data) in tweets being read. Our experimentation architecture uses a client-side browser extension to harvest and dissect tweets from users' timelines, search result pages, or profile pages, i.e., tweets supposed to be read. Named entities are extracted via several third-party Natural Language Processing (NLP) Web services in parallel, and are then reported to Google Analytics, which is used to store, analyze, and compute trends by pivoting the reported named entities by Google Analytics data, e.g., users' geographic locations.
- Poster: On tweet/retweets time lags
- Edgar Rocha, Alexandre P. Francisco, Pável Calado and H. Sofia Pinto
Abstract
Understanding how news and opinions diffuse through news media, the blogosphere and social networks has been subject of recent work by the research community. Previous work has pointed out that time lags occur between peaks of attention in the news media and in blogs, which is clearly related to news diffusion and, then, news discussion and opinions. But, how do news and opinions evolve over social networks? In this paper we focus this last problem by analyzing content evolution over Twitter social network and microblogging service. Our preliminary results allow us to infer a correlation pattern between retweet peaks and news spreading, and between tweet peaks and opinion spreading, respectively. In particular, there are recurrent time lags between retweet peaks and tweet peaks, with former ones being delayed from some hours to a couple of days. Results available at http://web.ist.utl.pt/edgar.rocha/web/rttl/.
11:00 – 11:40: Entity Extraction and Semantics II
- 11:00 – 11:20: (FULL PAPER)
- Does Size Matter? When Small is Good Enough
Anna Lisa Gentile, Amparo Elizabeth Cano Basave, Aba-Sah Dadzie, Vitaveska Lanfranchi, Neil Ireson
Abstract
This paper reports the observation of the influence of the size of documents on the accuracy of a defined text processing task. Our hypothesis is that based on a specific task (in this case, topic classification), results obtained using longer texts may be approximated by short texts, of micropost size, i.e., maximum length 140 characters. Using an email dataset as the main corpus, we generate several fixed-size corpora, consisting of truncated emails, from micropost size (140 characters), and successive multiples thereof, to the full size of each email. Our methodology consists of two steps: (1) corpus-driven topic extraction and (2) document topic classification. We build the topic representation model using the main corpus, through k-means clustering, with each k-derived topic represented as a weighted number of terms. We then perform document classification according to the k topics: first over the main corpus, then over each truncated corpus, and observe the variance in classification accuracy with document size. The results obtained show that the accuracy of topic classification for micropost-size texts is a suitable approximation of classification performed on longer texts.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{gentile.ea:2011,
author = {Anna Lisa Gentile and Amparo Elizabeth Cano Basave and Aba-Sah Dadzie and Vitaveska Lanfranchi and Neil Ireson},
title = {Does Size Matter? When Small is Good Enough},
crossref = {proc_msm2011@eswc2011},
pages = {45--56},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
keywords = {Short Messages; Email Processing; Text Processing; Document classification.},
url = {http://ceur-ws.org/Vol-718/paper_09.pdf},
}
- 11:20 - 11:40: (FULL PAPER)
- Discovering the Dynamics of Terms' Semantic Relatedness through Twitter
Nikola Milikic, Jelena Jovanovic, Milan Stankovic
Abstract
Determining the semantic relatedness (SR) of two terms has been an appealing topic in information retrieval for many years as such information is useful for various tasks ranging from tag recommendation, over search query refinement to suggesting new web resources for the user to discover. Most approaches consider the SR of terms as static over time, and disregard the eventual temporal changes as imperfections. However, detecting and tracing changes in SR of terms over time may help in understanding the nature of changes in public opinion, as well as the change in the usage of terms in common language and jargon. In this paper, we propose an approach that makes use of microposts data in order to establish a dynamic measure of SR of terms, i.e., a measure that accounts for the changes in SR over time. We propose different scenarios of use (in online advertising and organizational knowledge management) which demonstrate the applicability of our approach in real life situations. We also provide a demo application for visualizing the change in micropost-based SR of terms.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{milikic.ea:2011,
author = {Nikola Milikic and Jelena Jovanovic and Milan Stankovic},
title = {Discovering the Dynamics of Terms' Semantic Relatedness through Twitter},
crossref = {proc_msm2011@eswc2011},
pages = {57--68},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
keywords = {Semantic relatedness; dynamic measure of semantic relatedness; microposts; Twitter},
url = {http://ceur-ws.org/Vol-718/paper_02.pdf},
}
11:40 - 12:00: Demos
- 11:40 - 11:50
- Polemical Video Annotation by Twitter
Samuel Huron, Yves-Marie Haussonne, Alexandre Monnin, Yves-Marie L'hour
Abstract
In this paper we present a method to enhance video metadata by using microposts generated through social interactions during live events. Our goal is to make visible the audience "polemical activity" (the exchange of arguments, counter-arguments and references) elicited by the talk, and use it as a tool to browse the video record. To achieve it, we design a new interface and service that makes a synthetic view of microposts interaction.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{huron.ea:2011,
author = {Samuel Huron and Yves-Marie Haussonne and Alexandre Monnin and Yves-Marie L'hour},
title = {DEMO: Polemical Video Annotation by Twitter},
crossref = {proc_msm2011@eswc2011},
pages = {19--21},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
keywords = {micropost; annotation; video; social interactions; live; polemic },
url = {http://ceur-ws.org/Vol-718/paper_11.pdf},
}
- 11:50 - 12:00
-
A Tweet Consumers' Look At Twitter Trends
Thomas Steiner, Arnaud Brousseau and Raphaël Troncy
Abstract
The Twitter Trends feature allows for a global or local view on "what's happening in my world right now" from a tweet producers' point of view. In this paper, we show the possibility to complete the functionality provided by Twitter Trends via having a closer look at the other side: the tweet consumers' – i.e., readers – point of view. While Twitter Trends works by analyzing the frequency of terms and their velocity of appearance in tweets being written, our approach is based on the popularity of extracted named entities (in the sense of Linked Data) in tweets being read. Our experimentation architecture uses a client-side browser extension to harvest and dissect tweets from users' timelines, search result pages, or profile pages, i.e., tweets supposed to be read. Named entities are extracted via several third-party Natural Language Processing (NLP) Web services in parallel, and are then reported to Google Analytics, which is used to store, analyze, and compute trends by pivoting the reported named entities by Google Analytics data, e.g., users' geographic locations.
12:00 - 13:00 - Panel I: Information Diffusion, Extraction and Semantics
13:00 - 14:30: Lunch
14:30 - 15:30: Politics and Sentiment
- 14:30 - 14:50 (FULL PAPER)
- The Pragmatics of Political Messages in Twitter Communication
Jurģis Šķilters, Monika Kreile, Uldis Bojārs, Inta Brikše, Jānis Pencis, Laura Uzule
Abstract
The aim of the current paper is to formulate a conception of pragmatic patterns characterizing the construction of individual and collective identities in virtual communities (in our case: the Twitter community). We have explored several theoretical approaches and frameworks and relevant empirical data to show that the agents building virtual communities are 'extended selves' grounded in a highly dynamic and compressed, linguistically mediated virtual network structure. Our empirical evidence consists of a study of discourse related to the Latvian parliamentary elections of 2010. We used a Twitter corpus (in Latvian) harvested and statistically evaluated using the Pointwise Mutual Information (PMI) algorithm and complemented with qualitative and quantitative content analysis.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{skilters.ea:2011,
author = {Jur\'gis {\u S}{\c k}ilters and Monika Kreile and Uldis Boj\=ars and Inta Brik{\u s}e and J\=anis Pencis and Laura Uzule},
title = {The Pragmatics of Political Messages in Twitter Communication},
crossref = {proc_msm2011@eswc2011},
pages = {69--80},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
keywords = {Twitter; virtual identity; social science; political messages},
url = {http://ceur-ws.org/Vol-718/paper_18.pdf},
}
- 14:50 - 15:10 (FULL PAPER)
- Automatic Detection of Political Opinions in Tweets
Diana Maynard and Adam Funk
Abstract
In this paper, we discuss a variety of issues related to opinion mining from microposts, and the challenges they impose on an NLP system, along with an example application we have developed to deter- mine political leanings from a set of pre-election tweets. While there are a number of sentiment analysis tools available which summarise positive, negative and neutral tweets about a given keyword or topic, these tools generally produce poor results, and operate in a fairly simplistic way, using only the presence of certain positive and negative adjectives as indicators, or simple learning techniques which do not work well on short microposts. On the other hand, intelligent tools which work well on movie and customer reviews cannot be used on microposts due to their brevity and lack of context. Our methods make use of a variety of sophisticated NLP techniques in order to extract more meaningful and higher quality opinions, and incorporate extra-linguistic contextual information.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{maynard.ea:2011,
author = {Diana Maynard and Adam Funk},
title = {Automatic Detection of Political Opinions in Tweets},
crossref = {proc_msm2011@eswc2011},
pages = {81--92},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
keywords = {NLP; opinion mining; social media analysis},
url = {http://ceur-ws.org/Vol-718/paper_19.pdf},
}
- 15:10 - 15:25: (SHORT PAPER)
- A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs
Finn Årup Nielsen
Abstract
Sentiment analysis of microblogs such as Twitter has recently gained a fair amount of attention. One of the simplest sentiment analysis approaches compares the words of a posting against a labeled word list, where each word has been scored for valence, -- a "sentiment lexicon" or "affective word lists". There exist several affective word lists, e.g., ANEW (Affective Norms for English Words) developed before the advent of microblogging and sentiment analysis. I wanted to examine how well ANEW and other word lists performs for the detection of sentiment strength in microblog posts in comparison with a new word list specifically constructed for microblogs. I used manually labeled postings from Twitter scored for sentiment. Using a simple word matching I show that the new word list may perform better than ANEW, though not as good as the more elaborate approach found in SentiStrength.
bibtex
@Proceedings{proc_msm2011@eswc2011,
title = {Proceedings, 1st Workshop on Making Sense of Microposts {(\#MSM2011)}: Big things come in small packages, Heraklion, Crete, Greece, 30th May 2011},
year = 2011,
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
editor = {Matthew Rowe and Milan Stankovic and Aba-Sah Dadzie and Mariann Hardey},
month = {May},
url = {http://ceur-ws.org/Vol-718},
}
@InProceedings{nielsen:2011,
author = {Finn \r{A}rup Nielsen},
title = {A New {ANEW}: Evaluation of a Word List for Sentiment Analysis in Microblogs},
crossref = {proc_msm2011@eswc2011},
pages = {93--98},
booktitle = {Making Sense of Microposts {(\#MSM2011)}},
year = 2011,
url = {http://ceur-ws.org/Vol-718/paper_16.pdf},
}
15:25 - 16:00: Panel II - Politics, Sentiments, Ethics and Issues (part 1)
16:00 - 16:30: Tea Break and posters
15:25 - 16:00: Panel II - Politics, Sentiments, Ethics and Issues (part 2)
17:00 - 17:30: Award Ceremony and closing
Important Dates
Submission of Abstracts: 4 March 2011
Paper Submission deadline: 4 March 2011 14 March 2011 (extended deadline)
Notification of acceptance: 1 April 2011 7 April 2011 (extended deadline)
Camera-ready paper submission deadline: 15 April 2011
Proceedings published: 15 May 2011
Submission (Posters/Demos): May 1, 2011 (23:59 Hawaii time)
Notification (Posters/Demos): May 15, 2011
Camera Ready (Posters/Demos): May 20, 2011
Workshop: 29/30 May 2011
Organising Committee
Program Committee
- A. Elizabeth Cano, University of Sheffield, UK
- Alexandre Passant, DERI, Galway, Ireland
- Andres Garcia-Silva, UPM, Spain
- Bernhard Schandl, University of Vienna, Austria
- Brian Loader, University of York, UK
- Claudia Wagner, Joanneum Research, Austria
- Dan Mercea, University of York, UK
- Danica Radovanovic, University of Belgrade, Serbia
- David Beer, University of York
- Elena Simperl, University of Innsbruck, Austria
- Eric T. Meyer, Oxford Internet Institute
- Fabien Gandon, INRIA, France
- Guillaume Ereteo, INRIA, France
- Harald Sack, University of Potsdam, Germany
- Harith Alani, KMi, Open University, UK
- Jelena Jovanovic, University of Belgrade, Serbia
- Jennifer Jones, University of the West of Scotland
- John Breslin, NUIG, Ireland
- Jon Hickman, Birmingham City University, UK
- Mischa Tuffield, Garlik, UK
- Oscar Corcho, UPM, Spain
- Pablo Mendes, Freie Universität Berlin
- Philipe Laublet, Universite Paris-Sorbonne, France
- Sofia Angeletou, KMi, The Open University, UK
- Raphael Troncy, Eurecom, France
- Robert Jaeschke, University of Kassel, Germany
- Sergei Sizov, University of Koblenz, Germany
- Shenghui Wang, Vrije University, Holland
- Uldis Bojars, University of Latvia, Latvia
- Victoria Uren, University of Sheffield, UK
- Yves Raimond, BBC, UK
- Ziqi Zhang, University of Sheffield, UK
- (additional PC members are still being confirmed)
Multidisciplinary Steering Committee
- Alexandre Monnin, IRI, Centre Pompidou, Paris, France
- Danica Radovanovic, University of Belgrade, Serbia
Contact
Email the team at: msm DOT orgcom AT gmail DOT com
Join us on our Facebook group and tweet about the workshop using #msm2011
