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Summarizing tweet in real-time by filtering quality, relevant and non redundant tweets

Bilel Moulahi, Lamjed Ben Jabeur, Rafik Abbes, Lynda Tamine
2017 Text Retrieval Conference  
We extend our previous approach [1] for real-time filtering of tweet stream that aims to identify quality, relevant and non-redundant tweets to be pushed to the user at real-time.  ...  This paper presents the participation of LIRMM laboratory (University of Montpellier), P3 Group and IRIT laboratory (University of Toulouse) to the Real Time Summarization track of TREC 2017.  ...  Streaming filter model for real-time summarization Real-time summarization of tweets consist in selecting from a continuous stream of tweets T =< t 1 ,t 2 , . . .  ... 
dblp:conf/trec/MoulahiJAT17 fatcat:g3rojjjsczgltayjcceebssa6y

Multi-criterion Real Time Tweet Summarization Based upon Adaptive Threshold

Abdelhamid Chellal, Mohand Boughanem, Bernard Dousset
2016 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI)  
OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.  ...  This is an author-deposited version published in : Eprints ID : 17220 The contribution was presented at IEEE/WIC/ACM 2016 :  ...  Abstract-Real time summarization in microblog aims at providing new relevant and non redundant information about an event as soon as it occurs.  ... 
doi:10.1109/wi.2016.0045 dblp:conf/webi/ChellalBD16 fatcat:zyhlfphphzentlt5e5bhlnqkwu

Exploiting Live Feedback for Tweet Real-time Push Notifications

Reem Suwaileh, Tamer Elsayed
2017 Text Retrieval Conference  
, relevance filtering, novelty filtering, and tweets nomination.  ...  This necessitates the development of real-time summarization (RTS) systems that automatically track predefined topics of interest and summarize the stream while considering the relevance, novelty, and  ...  ACKNOWLEDGMENTS This work was made possible by NPRP grant# NPRP 7-1313-1-245 from the Qatar National Research Fund (a member of Qatar Foundation).  ... 
dblp:conf/trec/SuwailehE17 fatcat:bmid5kd3fzgqngx362fjdhf5je

Overview of the TREC 2016 Real-Time Summarization Track

Jimmy Lin, Adam Roegiest, Luchen Tan, Richard McCreadie, Ellen M. Voorhees, Fernando Diaz
2016 Text Retrieval Conference  
ACKNOWLEDGMENTS This work was supported in part by the Natural Sciences and Engineering Research Council (NSERC) of Canada. Additional support came from the U.S.  ...  National Science Foundation under IIS-1218043 and CNS-1405688.  ...  EVALUATION DESIGN General Setup The design of the TREC 2016 Real-Time Summarization Track largely follows the design of the real-time filtering task in the TREC 2015 Microblog Track [6] .  ... 
dblp:conf/trec/LinRTMV016 fatcat:akzydktxu5hynkur4755rimp6e

Optimization framework model for retrospective tweet summarization

Abdelhamid Chellal, Mohand Boughanem
2018 Proceedings of the 33rd Annual ACM Symposium on Applied Computing - SAC '18  
to non-redundancy, coverage, temporal diversity and summary length.  ...  the summary by selecting iteratively top weighted tweets and ignores the mutual relation among messages.  ...  TREC 2015 Microblog Real-Time Filtering (MB-RTF) [7] and TREC Real-Time Summarization 2016 1 are two evaluation campaigns.  ... 
doi:10.1145/3167132.3167210 dblp:conf/sac/ChellalB18 fatcat:frjg6cxs6regpkkmk57s3ofweu

Light-weight, Conservative, yet Effective: Scalable Real-time Tweet Summarization

Reem Suwaileh, Maram Hasanain, Tamer Elsayed
2016 Text Retrieval Conference  
In this paper, we tackle the problem of summarizing a stream of tweets given a pre-defined set of topics in the context of Qatar University's participation in TREC-2016 Real-Time Summarization (RTS) track  ...  Additionally, one cannot survive with manual techniques to summarize tweets related to topics that are discussed on the stream and are developed rapidly.  ...  This work was made possible by NPRP grant# NPRP 6-1377-1-257 and NPRP grant# NPRP 7-1313-1-245 from the Qatar National Research Fund (a member of Qatar Foundation).  ... 
dblp:conf/trec/SuwailehHE16 fatcat:haehnlnno5f2rf2nbuxnkmjruq

NUDTSNA at TREC 2015 Microblog Track: A Live Retrieval System Framework for Social Network based on Semantic Expansion and Quality Model

Xiang Zhu, Jiuming Huang, Sheng Zhu, Ming Chen, Chenlu Zhang, Zhenzhen Li, Huang Dongchuan, Zhao Chengliang, Aiping Li, Yan Jia
2015 Text Retrieval Conference  
This paper describe our approaches to real-time filtering task in the TREC 2015 Microblog track, including push notifications on a mobile phone task and periodic email digest task.  ...  In the email digest task, based on the candidate tweets retrieved from the first task, we calculate the score of a tweet considering semantic features and quality features, all the tweets classified into  ...  The preprocessing and filtering utilized on tweet stream are as follow, • Non-English Filtering, we abandoned the non-English tweets by a language detector with infinity gram, named ldig [10] .  ... 
dblp:conf/trec/ZhuHZCZLDCLJ15 fatcat:ujuctmuiufgehjb36y2adn65rq

Overview of the TREC 2017 Real-Time Summarization Track

Jimmy Lin, Salman Mohammed, Royal Sequiera, Luchen Tan, Nimesh Ghelani, Mustafa Abualsaud, Richard McCreadie, Dmitrijs Milajevs, Ellen M. Voorhees
2017 Text Retrieval Conference  
ACKNOWLEDGMENTS is work was supported in part by the Natural Sciences and Engineering Research Council (NSERC) of Canada.  ...  We'd like to thank all the mobile assessors who participated in our user study and the NIST assessors.  ...  In real-time summarization, the goal is for a system to deliver interesting and novel content to users in a timely fashion. We refer to these messages generically as "updates".  ... 
dblp:conf/trec/LinMSTGAMMV17 fatcat:iagtggaonvai5hc7v3tgrccqe4

Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization

Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu
In this paper, we propose a Deep Reinforcement learning framework for real-time Event Summarization (DRES), which shows promising performance for resolving all three challenges (i.e., relevance, non-redundancy  ...  Real-time event summarization is an essential task in natural language processing and information retrieval areas.  ...  Acknowledgments This work was partially supported by the National Natural Science Foundation of China (NSFC) (No. 61602462  ... 
doi:10.1609/aaai.v34i05.6483 fatcat:xiez6dtlybd7xe67a7btb4e5ny

Online In-Situ Interleaved Evaluation of Real-Time Push Notification Systems

Adam Roegiest, Luchen Tan, Jimmy Lin
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
Real-time push noti cation systems monitor continuous document streams such as social media posts and alert users to relevant content directly on their mobile devices.  ...  We describe a user study of such systems in the context of the TREC 2016 Real-Time Summarization Track, where system updates are immediately delivered as push noti cations to the mobile devices of a cohort  ...  Temporal Summarization (TS) Tracks from 2013 to 2015 [4] . e task is closely related to the push noti cation problem that we study, and in fact the TREC Real-Time Summarization Track, which provides the  ... 
doi:10.1145/3077136.3080808 dblp:conf/sigir/RoegiestTL17 fatcat:7cy5c5rjqjgnlcpdtxphu4epxy

EveTAR: Building a Large-Scale Multi-Task Test Collection over Arabic Tweets [article]

Maram Hasanain, Reem Suwaileh, Tamer Elsayed, Mucahid Kutlu, Hind Almerekhi
2017 arXiv   pre-print
relevancy and in-house annotators for novelty, filtering out low-agreement topics and inaccessible tweets, and providing multiple subsets of the collection for better availability.  ...  That inherently facilitates the support of multiple tasks that generally revolve around events, namely event detection, ad-hoc search, timeline generation, and real-time summarization.  ...  We would like to thank the crowd workers and in-house annotators for their valuable efforts in producing high-quality judgments of tweets.  ... 
arXiv:1708.05517v2 fatcat:bl75l7fx6bgh5gyqjge35upjgi

A Novel Framework for Identifying Twitter Spam Data Using Machine Learning Algorithms

Susana B. Mazikua, A. R. Rahiman, Abdull Mohammed, Mohd Taufik Abdullah
2020 Journal of Southwest Jiaotong University  
The effectiveness evaluation being confirmed by experiment results show that accuracy is improved by 90% in 0hr 0m 20s time, compared with the existing system, the completion time is 2.022 seconds, and  ...  The feature selection is introduced to select the most important from the extracted high-dimensional best features and feed the selected features into the minimum Redundancy and Maximal Relevance algorithm  ...  In classification, our experiments' results show the identification of spam and non-spam for real-time running classification jobs.  ... 
doi:10.35741/issn.0258-2724.55.5.1 fatcat:5y5gobqrsvdpphw42jhhccxpcu

Twitter message recommendation based on user interest profiles

Raheleh Makki, Axel J. Soto, Stephen Brooks, Evangelos E. Milios
2016 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)  
However, users are often overwhelmed by the large number of tweets which makes it difficult for them to find relevant and non-redundant information about their interests.  ...  Information filtering and recommender systems can help users by suggesting informative tweets based on their interests.  ...  This research was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and The Boeing Company.  ... 
doi:10.1109/asonam.2016.7752266 dblp:conf/asunam/MakkiSBM16 fatcat:3jrug3ieu5ab3byukap3phurum

Microblogging during the European Floods 2013

Christian Reuter, Julian Schröter
2015 International Journal of Information Systems for Crisis Response and Management  
However its analysis by emergency services still bears unaddressed challenges and the majority of studies focus on the use of social media in the USA.  ...  In this paper German tweets of the European Flood 2013 are therefore captured and analyzed using descriptive statistics, qualitative data coding, and computational algorithms.  ...  ACKNOWLEDGEMENTS The research project EmerGent' was funded by a grant of the European Union (FP7 No. 608352).  ... 
doi:10.4018/ijiscram.2015010102 fatcat:jrw6sdcj2rh7ni5fzwcpwjav5q

Graph-based Method for Summarized Storyline Generation in Twitter [article]

Nazanin Dehghani, Masoud Asadpour
2017 arXiv   pre-print
Our approach models a storyline as a directed tree of social salient sub-events evolving over time. To overcome the enormous number of redundant tweets, we keep distilled information in super-tweets.  ...  Whereas, a significant fraction of tweets are about news events, summarizing the storyline of events can be helpful for users to easily access to the relevant and key information hidden among tweets and  ...  More details of the collection are illustrated in Table I . For our experiments, non-English tweets and English Tweets containing less than two words are filtered.  ... 
arXiv:1504.07361v2 fatcat:eiem6gb5qvazvoxp36bwwxbrg4
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