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The Million Musical Tweet Dataset - What We Can Learn From Microblogs

David Hauger, Markus Schedl, Andrej Kosir, Marko Tkalcic
2013 Zenodo  
This research is supported by the Austrian Science Funds (FWF): P22856, P25655, and by the European Union FP7 programme through the PHENICX project (grant agreement no. 601166).  ...  In this paper, we present a novel dataset of information derived from microblogs (tweets), describing the music listening habits of users.  ...  DISCUSSION AND FUTURE WORK In this paper, we presented the "Million Musical Tweets Dataset" (MMTD).  ... 
doi:10.5281/zenodo.1417648 fatcat:7folsgmauvgo7nuldietyko2fi

Twitter Tweet Classifier

Ashwin V
2016 IAES International Journal of Artificial Intelligence (IJ-AI)  
As the popularity of the microblogging sites increases the closer we get to the era of Information Explosion.Twitter is the second most used microblogging site which handles more than 500 million tweets  ...  Naïve Bayes, a machine learning algorithm is used for building a classifier which classifies the tweets when trained with the twitter corpus.  ...  In this research we use a dataset formed by collecting twitter tweets.  ... 
doi:10.11591/ijai.v5.i1.pp41-44 fatcat:qtdl4hcwunhyxf3ha5szl2d5ai

Microblogs as Parallel Corpora

Wang Ling, Guang Xiang, Chris Dyer, Alan W. Black, Isabel Trancoso
2013 Annual Meeting of the Association for Computational Linguistics  
We have been able to extract over 1M Chinese-English parallel segments from Sina Weibo (the Chinese counterpart of Twitter) using only their public APIs.  ...  We present an efficient method for detecting these messages and extracting parallel segments from them.  ...  We are also extremely grateful to Brendan O'Connor for providing the Twitter data and to Philipp Koehn and Barry Haddow for providing the Project Syndicate data.  ... 
dblp:conf/acl/LingXDBT13 fatcat:idc2cvcwnfgtjb4ltoq7m2eqou

We know what you want to buy

Xin Wayne Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
We have evaluated our system in a large dataset crawled from Sina Weibo. The experimental results have verified the feasibility and effectiveness of our system.  ...  Users' characteristics extracted from their public profiles in microblogs and products' demographics learned from both online product reviews and microblogs are fed into learning to rank algorithms for  ...  analysis Our dataset consists of 5 million users and 1.7 billion tweets, and about 113 tweets are published every second.  ... 
doi:10.1145/2623330.2623351 dblp:conf/kdd/ZhaoGHJWL14 fatcat:5b3rlswl3vbrxa3zzsj7e2ucci

A qualitative approach towards discovering microblogging practices of scientists

Barbara Kieslinger, Martin Ebner
2011 2011 14th International Conference on Interactive Collaborative Learning  
After an analysis of the current stateof-the-art we will outline an approach for a more qualitative analysis that focuses on discovering tacit aspects of microblogging practices such as value or purpose  ...  Finally some initial results from four individual cases will be discussed.  ...  Thus tweets can be analyzed either from a more static point of view or from an interaction perspective.  ... 
doi:10.1109/icl.2011.6059547 fatcat:nbpboadvevhsnec6knfmftocde

Microblogging Practices of Scientists in E-Learning: A Qualitative Approach

Martin Ebner, Barbara Kieslinger, Helga Wiesenhofer
2011 International Journal of Emerging Technologies in Learning (iJET)  
After an analysis of the current state-of-the-art we will outline the methodological approach for our qualitative analysis that focuses on discovering tacit aspects of microblogging practices such as value  ...  the field of e-Learning and how this practice shapes their social networks.  ...  By analyzing a dataset of over 1.3 million posts from over 76.000 distinct users they conclude that people's main intentions for mircoblogging are daily chatter, conversations, sharing information and  ... 
doi:10.3991/ijet.v6i4.1820 fatcat:xnvqanhjfrhvrcwxisq4ihfpbi

Opinion Argumentation based on Combined Information Retrieval and Topic Modeling

Seif Sendi, Chiraz Latiri
2018 Conference and Labs of the Evaluation Forum  
In this work, we propose a new pipeline process to achieve the goal of argumentation mining, based on 70 millions of twitter-microblogs released from MC2 CLEF-2018 lab dealing with cultural events.  ...  Due to the explosion of social networks, microblogging platforms like Twitter and Facebook have become interesting tools to evaluate public opinion on different domains.  ...  We believe that combining these techniques can achieve the aim of argumentation mining, by identifying the most argumentative tweets within a 70 millions microblogs dataset of cultural events.  ... 
dblp:conf/clef/SendiL18 fatcat:dhd5ljcthndnbkmq3d5o7zuvf4

Microblog Entity Linking with Social Temporal Context

Wen Hua, Kai Zheng, Xiaofang Zhou
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
Experimental results based on real tweet datasets verify the e↵ectiveness and e ciency of our proposals.  ...  In this paper, we propose an e cient solution to link entities in tweets by analyzing their social and temporal context.  ...  From Fig. 5 (d) , we can see that the time requirement of our system remains stable when we complement our knowledgebase with increasingly larger tweet dataset.  ... 
doi:10.1145/2723372.2751522 dblp:conf/sigmod/HuaZZ15 fatcat:4auknz64d5hjxec5dfswyzxyxa

Creating Stories from Socially Curated Microblog Messages

Akisato KIMURA, Kevin DUH, Tsutomu HIRAO, Katsuhiko ISHIGURO, Tomoharu IWATA, Albert AU YEUNG
2014 IEICE transactions on information and systems  
We then explore new ways in which information retrieval and machine learning technologies can be used to assist curators.  ...  to the curated content. key words: social curation, microblogging, learning to rank * *  ...  Hirofumi Fujimoto for all his help as to this project, especially collecting a large corpus of curation and microblog data and building the demo system.  ... 
doi:10.1587/transinf.e97.d.1557 fatcat:wolzlscpczespoweikw5irdlgm

Microblog Processing: A Study

Sandip Modha
2017 Forum for Information Retrieval Evaluation  
Sensing Microblog from retrieval and summarization become the challenging area for the Information retrieval community. Twitter is one of the most popular micro blogging platforms.  ...  In this paper, Twitter posts called tweets are studied from retrieval and extractive summarization perspectives.  ...  As of now, we are working on following hypothesis. H1: we can predict threshold for new dataset (TREC RTS 2016) from old data set TREC 2015 dataset.  ... 
dblp:conf/fire/Modha17 fatcat:xolemzgx2fdc3oggvkzqrvcdqe

Analysis of named entity recognition and linking for tweets

Leon Derczynski, Diana Maynard, Giuseppe Rizzo, Marieke van Erp, Genevieve Gorrell, Raphaël Troncy, Johann Petrak, Kalina Bontcheva
2015 Information Processing & Management  
In this work, we describe a new Twitter entity disambiguation dataset, and conduct an empirical analysis of named entity recognition and disambiguation, investigating how robust a number of state-of-the-art  ...  systems are on such noisy texts, what the main sources of error are, and which problems should be further investigated to improve the state of the art.  ...  Acknowledgments The authors thank Roland Roller and Sean McCorry of the University of Sheffield, and the CrowdFlower workers, for their help in annotating the entity-linked dataset; and the reviewers for  ... 
doi:10.1016/j.ipm.2014.10.006 fatcat:3ikmvocd75h7rljgxjszeku4gu

Dynamic box office forecasting based on microblog data

Runyu Chen, Wei Xu, Xinghan Zhang
2016 Filomat  
The features weekly extracted from microblogs can be divided into count based features and context based features, along with the existing box office and the screen arrangements, to predict the box office  ...  The number of tweets which can indeed influence others´purchase decision, along with the number of tweets with positive and negative influence is the results of the analysis system.  ...  As can be seen from Fig. 1 , we first obtained microblog data though API from the date one week earlier than the movies release time.  ... 
doi:10.2298/fil1615111c fatcat:6sp7vgwnmnh4jmokjtb4cloq7i

Bridging social media via distant supervision

Walid Magdy, Hassan Sajjad, Tarek El-Ganainy, Fabrizio Sebastiani
2015 Social Network Analysis and Mining  
In this paper we study an approach to tweet classification based on distant supervision, whereby we automatically transfer labels from one social medium to another for a single-label multi-class classification  ...  In particular, we apply YouTube video classes to tweets linking to these videos. This provides for free a virtually unlimited number of labelled instances that can be used as training data.  ...  Fabrizio Sebastiani is on leave from Consiglio Nazionale delle Ricerche, Italy.  ... 
doi:10.1007/s13278-015-0275-z fatcat:kwdma2oxrnd6dj6awrl6wsp7ju

MB-ToT: An Effective Model for Topic Mining in Microblogs

Shaopeng Liu, Jian Yin, Jia Ouyang, Yun Huang, Piyuan Lin
2014 Applied Mathematics & Information Sciences  
Finally, we present a Gibbs sampling implementation for the inference of MB-ToT. We evaluate MB-ToT and compare it with the state-of-the-art methods on a real dataset.  ...  We also show that the quality of the generated latent topics of MB-ToT is promising.  ...  The authors are grateful to the anonymous referee for a careful checking of the details and for helpful comments that improved this paper.  ... 
doi:10.12785/amis/080137 fatcat:knw4rqmpozczpimrgb7oftso4a

Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds [article]

Rahul Radhakrishnan Iyer, Ronghuo Zheng, Yuezhang Li, Katia Sycara
2019 arXiv   pre-print
We work in the domain of multi-label classification to perform sentiment classification of tweets and obtain the opinion of the crowd.  ...  Sentiment Analysis of microblog feeds has attracted considerable interest in recent times. Most of the current work focuses on tweet sentiment classification.  ...  With over 400 million tweets per day on Twitter, microblog users generate large amount of data, which cover very rich topics ranging from politics, sports to celebrity gossip.  ... 
arXiv:1912.05066v1 fatcat:5gi726laardv5i3rj2ehgw23vi
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