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Towards Semantic Retrieval of Hashtags in Microblogs
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
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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
2015
Neurocomputing
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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
2012
Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12
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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
2011
Journal of the American Society for Information Science and Technology
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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]
2010
Lecture Notes in Computer Science
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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
2014
Text Retrieval Conference
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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
2013
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13
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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?
2012
Workshop on Making Sense of Microposts
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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
2017
Conference and Labs of the Evaluation Forum
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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
2011
Text Retrieval Conference
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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]
2013
Lecture Notes in Computer Science
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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
2017
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
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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
2015
International Journal of Advanced Computer Science and Applications
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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
2014
Advances in Classification Research Online
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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]
2011
Lecture Notes in Business Information Processing
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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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