Trend sensing via Twitter

Authors:
Yavuz Selim Yilmaz;Muhammed Fatih Bulut;Cuneyt Gurcan Akcora;Murat Ali Bayir;Murat Demirbas
Affiliations:
Computer Science and Engineering Department, University at Buffalo, SUNY, Buffalo, New York, 14260, USA;Computer Science and Engineering Department, University at Buffalo, SUNY, Buffalo, New York, 14260, USA;Dipartimento di Informatica e Comunicazione, Universití degli Studi dell'Insubria, Varese 21100, Italy;Computer Science and Engineering Department, University at Buffalo, SUNY, Buffalo, New York, 14260, USA;Computer Science and Engineering Department, University at Buffalo, SUNY, Buffalo, New York, 14260, USA
Venue:
International Journal of Ad Hoc and Ubiquitous Computing
Year:
2013

Citing 23
Cited 0

Mining the peanut gallery: opinion extraction and semantic classification of product reviews

WWW '03 Proceedings of the 12th international conference on World Wide Web
Survey of Text Mining

Survey of Text Mining
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Movie review mining and summarization

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Extracting product features and opinions from reviews

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Micro-Blog: sharing and querying content through mobile phones and social participation

Proceedings of the 6th international conference on Mobile systems, applications, and services
Opinion Mining and Sentiment Analysis

Foundations and Trends in Information Retrieval
Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application

Proceedings of the 6th ACM conference on Embedded network sensor systems
PEIR, the personal environmental impact report, as a platform for participatory sensing systems research

Proceedings of the 7th international conference on Mobile systems, applications, and services
SoundSense: scalable sound sensing for people-centric applications on mobile phones

Proceedings of the 7th international conference on Mobile systems, applications, and services
OpinionMiner: a novel machine learning system for web opinion mining and extraction

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Citizen Sensing, Social Signals, and Enriching Human Experience

IEEE Internet Computing
Characterizing debate performance via aggregated twitter sentiment

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Earthquake shakes Twitter users: real-time event detection by social sensors

Proceedings of the 19th international conference on World wide web
Streaming first story detection with application to Twitter

HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Summarizing microblogs automatically

HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A novel parallel algorithm for frequent pattern mining with privacy preserved in cloud computing environments

International Journal of Ad Hoc and Ubiquitous Computing
CloudEdge: a content delivery system for storage service in cloud environment

International Journal of Ad Hoc and Ubiquitous Computing
Towards location-based social networking services

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
Crowd-sourced sensing and collaboration using twitter

WOWMOM '10 Proceedings of the 2010 IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
Twitter for city police department information sharing

Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Ubiquitous Learning Grid: self-building knowledge in cross-boundary virtual learning communities

International Journal of Ad Hoc and Ubiquitous Computing
Summarizing sporting events using twitter

Proceedings of the 2012 ACM international conference on Intelligent User Interfaces

Quantified Score

Hi-index	0.00

Visualization

Abstract

Due to its ever increasing popularity, Twitter has become a pervasive information outlet. In this paper, we present a passive sensing framework for identifying trends via Twitter. In our framework, we use a multi-dimensional corpus for fine-granularity sensing of trends, and employ both vector-space and set-space methods for achieving accuracy. We present two applications of our framework. The first one is sensing trends in public opinion by using an emotion-category corpus. The second application is sensing trends in location-types in a city by using a location-category corpus. Our experiments show that the proposed methods are able to determine changes in trends effectively in both application scenarios.