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Improving Twitter Retrieval by Exploiting Structural Information

Zhunchen Luo, Miles Osborne, Saša Petrovic ́, Ting Wang
2021 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
In this paper we utilize the structure of tweets, induced by these blocks, for Twitter retrieval.  ...  Most Twitter search systems generally treat a tweet as a plain text when modeling relevance.  ...  Acknowledgements We would like to thank Chee-Ming Ting, Desmond Elliott and Diego Frassinelli for their comments.  ... 
doi:10.1609/aaai.v26i1.8198 fatcat:p6j4oy3l3rc73p43iavyu6ylda

Leveraging the Semantics of Tweets for Adaptive Faceted Search on Twitter [chapter]

Fabian Abel, Ilknur Celik, Geert-Jan Houben, Patrick Siehndel
2011 Lecture Notes in Computer Science  
methods, for making faceted search on Twitter more effective.  ...  We propose strategies for inferring facets and facet values on Twitter by enriching the semantics of individual Twitter messages (tweets) and present different methods, including personalized and context-adaptive  ...  who is searching for a tweet -performs best for faceted search on Twitter.  ... 
doi:10.1007/978-3-642-25073-6_1 fatcat:m3r5gwzwrfce5m4th2d2hexvze

Improved Tweets Polarity Detection using Lexicon-based Features and Caching

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In this paper, improved polarity detection on tweets using supervised learning is proposed. This method is using data sets available in public.  ...  The pre-processing is improved using proper caching of data items to save the time for processing of duplicate items in data sets. The feature selection strategy ensures reduced dimensionality.  ...  insertion, search, etc. for various data structures with the data sets Twitter-Airline and Sentiment140.  ... 
doi:10.35940/ijitee.a5068.129219 fatcat:fwug7xkyivhjzfbpzq3eazgqwe

Social Users Interactions Detection Based on Conversational Aspects [chapter]

Rami Belkaroui, Rim Faiz, Aymen Elkhlifi
2015 Studies in Computational Intelligence  
Several works have proposed tools for tweets search focused only to retrieve the most recent but relevant tweets that address the information need.  ...  The proposed method has been implemented and evaluated by comparing it to Google and Twitter Search engines and we obtained very promising results.  ...  Furthermore, several works [2] have proposed tools for tweets search focused only to retrieve recent tweets.  ... 
doi:10.1007/978-3-319-16211-9_17 fatcat:mvl5hfygfbatjaohagj55drb3i

BEST of KAUST at TREC 2011: Building Effective Search in Twitter

Jinling Jiang, Lailatul Hidayah, Hany E. Ramadan, Tamer Elsayed
2011 Text Retrieval Conference  
In our first-ever appearance at TREC, we explore initial ideas on building an effective search tool over tweet stream as a participation in this year's microblog track.  ...  Overall, the system built for the task is indeed a great resource for further extensions and experiments.  ...  In this paper, we introduce BEST, which stands for "Building Effective Search in Twitter".  ... 
dblp:conf/trec/JiangHREL11 fatcat:bcw6dccqpzd3ba5e7zp4twrhvu

Reconstruction and analysis of Twitter conversation graphs

Peter Cogan, Matthew Andrews, Milan Bradonjic, W. Sean Kennedy, Alessandra Sala, Gabriel Tucci
2012 Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research - HotSocial '12  
We present a robust approach for the reconstruction of complete conversations and compare the resultant graph measurements to those created using keyword searches.  ...  Gathering data from large social networks such as Facebook and Twitter has become increasingly more difficult due to external pressure to improve privacy and internal pressure to generate revenue.  ...  Call Search API to search for tweets addressed to user then Search for tweets addressed to author of T ij Algorithm 1 Iterative Root Finder 1: Sn is the tweet passed as an input 2: k=0 3: repeat 4:  ... 
doi:10.1145/2392622.2392626 fatcat:2vjjkptubjh63jbxqx777ddimu

Improving recency ranking using twitter data

Yi Chang, Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Yoshiyuki Inagaki, Fernanodo Diaz, Hongyuan Zha, Yan Liu
2013 ACM Transactions on Intelligent Systems and Technology  
The empirical experiments demonstrate that the proposed approach effectively improves a commercial search engine for both Web search ranking and tweet vertical ranking. 18:5 4:2 Y.  ...  In this article we leverage Twitter, which is the most popular micro-blogging service, to improve search quality for recency-sensitive queries.  ...  Besides ranking individual tweets, Bing Twitter Search 4 also provides search results for those URLs referred to by Twitter users.  ... 
doi:10.1145/2414425.2414429 fatcat:lzddzn57yffqfiqdbqatfziiou

Knowledge Extraction from Open Data Repository [chapter]

Vijayalakshmi Kakulapati
2021 Open Data [Working Title]  
This chapter aim is to improve the performance of a POD repository from a different point of view. Firstly, we propose a novel query recommender system to help users shorten their query sessions.  ...  So there is a need for a query recommendation and query expansion system to improve the keyword extraction process from Twitter tweets and provide recommendations for Twitter users.  ...  In this chapter, a user querycentered recommendation system is deliberate to improve user-query analysis and tweets analysis for Twitter tweets.  ... 
doi:10.5772/intechopen.100234 fatcat:jwp4wewyk5fdfh6cg73qdxztyi

Tweets Classification and Sentiment Analysis for Personalized Tweets Recommendation

Asad Masood Khattak, Rabia Batool, Fahad Ahmed Satti, Jamil Hussain, Wajahat Ali Khan, Adil Mehmood Khan, Bashir Hayat, Atif Khan
2020 Complexity  
The proposed research builds user profile using Twitter data which is later helpful to provide the user with personalized recommendations.  ...  After precise classification and sentiment analysis, the system builds user interest-based profile by analyzing user's post on Twitter to know about user interests.  ...  using Twitter search API.  ... 
doi:10.1155/2020/8892552 fatcat:yc3kbq7vsbfadn5z6q2twtoxz4

Exploiting Twitter in Market Research for University Degree Courses

Zhenar Shaho Faeq, Kayhan Ghafoor, Bawar Abdalla, Omar Al-rassam
2015 International Journal on Integrating Technology in Education  
Recently many research efforts have been presented towards analyzing the content of information in Twitter for marketing purposes.  ...  The application enables users to retrieve Tweets from Twitter corpus which are related to the university.  ...  • Future plan of the SMEs in using Twitter for improving marketing strategies.  ... 
doi:10.5121/ijite.2015.4303 fatcat:p77xuseaefdghm2kntystfcrb4

An Empirical Study on Learning to Rank of Tweets

Yajuan Duan, Long Jiang, Tao Qin, Ming Zhou, Heung-Yeung Shum
2010 International Conference on Computational Linguistics  
Twitter presents tweets in chronological order. Recently, Twitter introduced a new ranking strategy that considers popularity of tweets in terms of number of retweets.  ...  This ranking method, however, has not taken into account content relevance or the twitter account. Therefore a large amount of pointless tweets inevitably flood the relevant tweets.  ...  This kind of method exploits different types of structures among postings and improved the performance of traditional link-based ranking algorithm for forum search.  ... 
dblp:conf/coling/DuanJQZS10 fatcat:6llvawd2d5cnvi466ei4c2fmaa

Event detection using Twitter and structured semantic query expansion

Heather S. Packer, Sina Samangooei, Jonathon S. Hare, Nicholas Gibbins, Paul H. Lewis
2012 Proceedings of the 1st international workshop on Multimodal crowd sensing - CrowdSens '12  
Structured data related to entities can provide additional context to tweets.  ...  Twitter is a popular tool for publishing potentially interesting information about people's opinions, experiences and news. Mobile devices allow people to publish tweets during real-time events.  ...  The first author is grateful to EPSRC for funding through a doctoral award.  ... 
doi:10.1145/2390034.2390039 fatcat:vqq66tse2ndn5hm5dzo2nplkni

Librarian integration into health care conferences: a case report

Carrie Price, Sapna R. Kudchadkar, Pragyashree Sharma Basyal, Archana Nelliot, Madison Smith, Michael Friedman, Dale M. Needham
2020 Journal of the Medical Library Association  
Health care continuing education conferences are important educational events that present opportunities for structured learning, interactive sharing, and professional networking.  ...  about bibliographic literature database content, database searching, critical appraisal, and reporting of search methodology.  ...  Twitter for Academia • Benefits of using Twitter • How to sign up for Twitter • How to follow the conference tweets Table 2 2 Searching for evidence for quality improvement projects mnemonic  ... 
doi:10.5195/jmla.2020.803 pmid:32256239 pmcid:PMC7069835 fatcat:owvfdepuszdibl3xy7rqixsmf4

Optimization of Microblog Representation Using Deep Learning Approach

K. H. Walse
2018 Asian Journal of Computer Science and Technology  
We have collected tweets from real time twitter for both single and double indexing technique. Also, we have use LDA with Semantic Similarity algorithm. We compared our results with single indexing.  ...  The proposed double indexing gives better performance than existing 1-ROCA of improved online SVM technique.  ...  For example, twitter-id @ZEEBUSINESS fetches the 9 tweets, whereas @my-iplclub fetches 13 tweets, @Sushama fetches 3 tweets and @thehill fetches 3 tweets, and then stored in single indexing.  ... 
doi:10.51983/ajcst-2018.7.2.1860 fatcat:h2zov5h4gzem5flpieqtfwjlmu

RAProp

Srijith Ravikumar, Kartik Talamadupula, Raju Balakrishnan, Subbarao Kambhampati
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
The increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets critical for search.  ...  We propose a method of ranking tweets by generating a Feature Score for each tweet that is based not just on content, but also additional information from the Twitter ecosystem that consists of users,  ...  These results thus confirm our claim that RAProp is an effective ranking method for Twitter search (see (Ravikumar 2013) for additional details and discussion.)  ... 
doi:10.1145/2505515.2505667 dblp:conf/cikm/RavikumarTBK13 fatcat:kakjexj465bidcui6m6tfbel2e
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