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Towards Semantic Retrieval of Hashtags in Microblogs

Piyush Bansal, Somay Jain, Vasudeva Varma
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
In this poster, we propose and evaluate a novel method of semantic enrichment of microblogs for a particular type of entity search -retrieving a ranked list of the top-k hashtags relevant to a user's query  ...  We observed an improvement of more than 10% in NDCG for microblog retrieval task, and around 11% in mean average precision for hashtag retrieval task.  ...  CONCLUSIONS AND FUTURE WORK We have presented and evaluated a semantic search system in context of hashtag and microblog retrieval.  ... 
doi:10.1145/2740908.2742717 dblp:conf/www/BansalJV15 fatcat:jockldnklfexjejetzonfhkgz4

Semantic query suggestion using Twitter Entities

Ioannis Anagnostopoulos, Gerasimos Razis, Phivos Mylonas, Christos-Nikolaos Anagnostopoulos
2015 Neurocomputing  
Towards this direction, we introduce an algorithmic approach capable of creating a dynamic query suggestion set, which consist of the most viral and trendy Twitter Entities (that is hashtags, user mentions  ...  However, the penetration of microblogging services in our daily life demands to also consider social sphere as far as query suggestion is concerned.  ...  towards query suggestion in microblog post search.  ... 
doi:10.1016/j.neucom.2014.12.090 fatcat:iow4seggx5halouapbhftejynm

Adding semantics to microblog posts

Edgar Meij, Wouter Weerkamp, Maarten de Rijke
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
We propose a solution to the problem of determining what a microblog post is about through semantic linking: we add semantics to posts by automatically identifying concepts that are semantically related  ...  Using a purpose-built test collection of tweets, we show that recently proposed approaches for semantic linking do not perform well, mainly due to the idiosyncratic nature of microblog posts.  ...  [16] analyze the semantics of hashtags in more detail and reveal that hashtagging in Twitter is more commonly used to join public discussions than to organize content for future retrieval.  ... 
doi:10.1145/2124295.2124364 dblp:conf/wsdm/MeijWR12 fatcat:ux2c767q75hyzfmxd6du6r7jo4

Information search and retrieval in microblogs

Miles Efron
2011 Journal of the American Society for Information Science and Technology  
After an overview of microblogs and the behavior surrounding them, the article describes established problems in microblog retrieval such as entity search, sentiment analysis, and modeling abstractions  ...  Modern information retrieval (IR) has come to terms with numerous new media in efforts to help people find information in increasingly diverse settings.  ...  Thus in microblog IR, the unit of retrieval is often either non-obvious or in need of formalizing to permit tractable retrieval.  ... 
doi:10.1002/asi.21512 fatcat:iedkatt54za45moqb6g2ckaz5m

HyperTwitter: Collaborative Knowledge Engineering via Twitter Messages [chapter]

Martin Hepp
2010 Lecture Notes in Computer Science  
A recent trend in the evolution of the Web is the massive contribution of small chunks of content by regular users, typically in combination with mechanisms for fostering social interaction.  ...  The resulting RDF graphs can be combined easily with other Semantic Web data.  ...  In Twitter, hashtags have a stronger global reach than in other social tagging systems, because one does not invent tags for personal retrieval but for being visible by others.  ... 
doi:10.1007/978-3-642-16438-5_35 fatcat:asaunbfmkjdbbjdr74kr26wxw4

HU DB at TREC 2014 Microblog Track

Jennifer Klein, Yishai Oltchik, Nerya Or, Sara Cohen
2014 Text Retrieval Conference  
This paper describes our system for the Tweet Timeline Generation (TTG) task of the Microblog track, at the Text Retrieval Conference (TREC) 2014.  ...  Intuitively, given a collection of microblog posts (i.e., tweets), and a keyword query Q, the goal is to generate a timeline of related tweets.  ...  The authors were partially supported by the Israel Science Foundation (Grant 1467/13) and the Ministry of Science and Technology (Grant 3-9617).  ... 
dblp:conf/trec/KleinOOC14 fatcat:ez5a4gycwrcg3npevg3kk46jki

Improving LDA topic models for microblogs via tweet pooling and automatic labeling

Rishabh Mehrotra, Scott Sanner, Wray Buntine, Lexing Xie
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
We empirically establish that a novel method of tweet pooling by hashtags leads to a vast improvement in a variety of measures for topic coherence across three diverse Twitter datasets in comparison to  ...  An additional contribution of automatic hashtag labeling further improves on the hashtag pooling results for a subset of metrics.  ...  of Excellence program.  ... 
doi:10.1145/2484028.2484166 dblp:conf/sigir/MehrotraSBX13 fatcat:zhdgmm76s5ezvlqugzwmvtenue

What Makes a Tweet Relevant for a Topic?

Ke Tao, Fabian Abel, Claudia Hauff, Geert-Jan Houben
2012 Workshop on Making Sense of Microposts  
Our in-depth analysis compares the importance of the different types of features and reveals that semantic features and therefore an understanding of the semantic meaning of the tweets plays a major role  ...  Users who rely on microblogging search (MS) engines to find relevant microposts for their queries usually follow their interests and rationale when deciding whether a retrieved post is of interest to them  ...  Twitter users typically apply hashtags in order to facilitate the retrieval of the tweet. For example, by using a hashtag people can join a discussion on a topic that is represented via that hashtag.  ... 
dblp:conf/msm/TaoAHH12 fatcat:dncodyevtjf6ndyyrwh5bttlb4

A Tweets Classifier based on Cosine Similarity

Carolina Fócil Arias, Jorge Zúñiga, Grigori Sidorov, Ildar Z. Batyrshin, Alexander F. Gelbukh
2017 Conference and Labs of the Evaluation Forum  
The 2017 Microblog Cultural Contextualization task consists in three challenges: (1) Content Analysis, (2) Microblog search, and (3) TimeLine illustration.  ...  This paper describes the use of cosine similarity, which is characterized by the comparison of similarity between two vectors of an inner product space.  ...  In related research, Murtagh [8] used correspondence analysis to map the dual spaces of days and hashtags to a latent semantic space with social narratives information, and related work on Pierre Bourdieu  ... 
dblp:conf/clef/AriasZSBG17 fatcat:m6ixfneegjgidmcu67ispmbxyi

Realtime Ad Hoc Search in Twitter: Know-Center at TREC Microblog Track 2011

Christopher Horn, Oliver Pimas, Michael Granitzer, Elisabeth Lex
2011 Text Retrieval Conference  
Thirdly, a combination of the Lucene ranking, the burst detection, the hashtag analysis, and the Retweet analysis, and fourthly, again a combination of the Lucene ranking with the burst detection but in  ...  In this paper, we outline our experiments carried out at the TREC Microblog Track 2011. Our system is based on a plain text index extracted from Tweets crawled from twitter.com.  ...  Conclusions In conclusion, we presented our approach towards the TREC Microblog Track 2011.  ... 
dblp:conf/trec/HornPGL11 fatcat:5adevyjs6vec5g3pwueamzcdee

The Wisdom of the Audience: An Empirical Study of Social Semantics in Twitter Streams [chapter]

Claudia Wagner, Philipp Singer, Lisa Posch, Markus Strohmaier
2013 Lecture Notes in Computer Science  
Traditionally, this kind of knowledge has been elusive to semantic analysis methods.  ...  Interpreting the meaning of a document represents a fundamental challenge for current semantic analysis methods.  ...  This work was supported in part by a DOC-fForte fellowship of the Austrian Academy of Science to Claudia Wagner and by the FWF Austrian Science Fund Grant I677 and the Know-Center Graz.  ... 
doi:10.1007/978-3-642-38288-8_34 fatcat:r6b3tv2xdvbjvm7tvxtxu54kby

Exploiting Meta Attributes for Identifying Event Related Hashtags

Sreekanth Madisetty, Maunendra Sankar Desarkar
2017 Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
A learning to rank algorithm is applied to learn the importance weights of the features towards the task of predicting the relevance of a hashtag to the given event.  ...  Finding event related hashtags can be useful for this purpose. In this paper, we focus on the problem of finding relevant hashtags for a given event.  ...  The work shows that identification of semantic relatedness between the hashtag and the event metadata helps in better retrieval of relevant hashtags.  ... 
doi:10.5220/0006502602380245 dblp:conf/ic3k/MadisettyD17 fatcat:hsvhmhbg7jcx5e57v6xukiobdy

SOCIA: Linked Open Data of Context behind Local Concerns for Supporting Public Participation

Shun Shiramatsu, Tadachika Ozono, Toramatsu Shintani
2015 International Journal of Advanced Computer Science and Applications  
Towards more accurate extraction of public concerns, we investigated feature expressions for extracting public concerns from microblogs written in Japanese.  ...  To address a technical issue about sample selection bias in our microblog corpus, we formulated a metric in mining feature expressions, i.e., bias-penalized information gain (BPIG).  ...  ACKNOWLEDGMENT This work was supported by a Grant-in-Aid for Young Scientists (B) (No. 25870321) from the Japan Society for the Promotion of Science (JSPS) and SCOPE from the Ministry of Internal Affairs  ... 
doi:10.14569/ijacsa.2015.060238 fatcat:4vreoy6xm5guzaw22hcw5fkuwy

A Semantic Similarity Approach for Linking Tweet Messages to Library of Congress Subject Headings using Linked Resources: A Pilot Study

Kwan Yi
2014 Advances in Classification Research Online  
In three cluster cases out of the five, JC selected the most relevant headings as the largest degrees of similarity.  ...  In the second stage, the degree of similarity between a cluster of tweets and LC subject headings is measured by a popular similarity metric, Jaccard Coefficient (JC).  ...  ACKNOWLEDGMENTS I would like to thank Judith Yi and Marcia Rapchak for their work of reading and editing this manuscript.  ... 
doi:10.7152/acro.v24i1.14676 fatcat:z2iqlpvnz5b6dp5u4lkyjb2lfy

Emergent Case Management for Ad-hoc Processes: A Solution Based on Microblogging and Activity Streams [chapter]

Martin Böhringer
2011 Lecture Notes in Business Information Processing  
We theoretically derive characteristics of such a system and demonstrate the approach based on a toolset of current Social Software techniques including microblogging, activity streams and tagging.  ...  In addition to existing top-down approaches, this paper suggests a bottom-up view on Case Management that leverages emergent user-driven case handling.  ...  Therefore, a strong technological foundation in terms of semantics and open standards is necessary.  ... 
doi:10.1007/978-3-642-20511-8_36 fatcat:mjj2srib3fehbfvsicoq6cp3su
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