The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Discovering users' topics of interest on twitter: a first look
Abstract
Twitter, a micro-blogging service, provides users with a framework for writing brief, often-noisy postings about their lives. These posts are called In this paper we present early results on discovering Twitter users' topics of interest by examining the entities they mention in their Tweets. Our approach leverages a knowledge base to disambiguate and categorize the entities in the Tweets. We then develop a topic profile, which characterizes users' topics of interest, by discerning which categories appear frequently and cover the entities. We demonstrate that even in this early work we are able to successfully discover the main topics of interest for the users in our study.
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(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337
What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652
Earthquake shakes Twitter users: real-time event detection by social sensors
Sakaki, T., Okazaki, M., & Matsuo, Y. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772777 · Cited by 3,640
TwitterRank: finding topic-sensitive influential twitterers
Weng, J., Lim, E.-P., Jiang, J., & He, Q. (2010) · Proceedings of the third ACM international conference on Web search and data mining · doi:10.1145/1718487.1718520 · Cited by 1,742
Learning to link with wikipedia
Milne, D., & Witten, I. H. (2008) · Proceedings of the 17th ACM conference on Information and knowledge management · doi:10.1145/1458082.1458150 · Cited by 1,237
Large-Scale Named Entity Disambiguation Based on Wikipedia Data
Cucerzan, S. (2007) · Cited by 1,061
Wikify!: linking documents to encyclopedic knowledge
Mihalcea, R., & Csomai, A. (2007) · Proceedings of the sixteenth ACM conference on Conference on information and knowledge management · doi:10.1145/1321440.1321475 · Cited by 909
Unsupervised Models for Named Entity Classification
Collins, M., & Singer, Y. (1999) · Cited by 819
Using Encyclopedic Knowledge for Named Entity Disambiguation
Bunescu, R., & PAŞCA, M. A. (2006) · Cited by 809
Krishnamurthy, B., Gill, P., & Arlitt, M. (2008) · Proceedings of the first workshop on Online social networks · doi:10.1145/1397735.1397741 · Cited by 697
Cited by
An exploration of social identity: The geography and politics of news‐sharing communities in twitter
HerdaĞdelen, A., Zuo, W., Gard‐Murray, A., & Bar‐Yam, Y. (2013) · Complexity · doi:10.1002/cplx.21457 · Cited by 56
Metadata
- Authors
- Michelson, M., & Macskassy, S. A.
- Venue
- Proceedings of the fourth workshop on Analytics for noisy unstructured text data
- Publisher
- ACM
- Published
- 2010-10-26
- Pages
- 73-80
- OpenAlex
- W2116235440
- Cited by
- 323
- References
- 17
- FWCI
- 17.32
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Michelson, M., & Macskassy, S. A. (2010). Discovering users' topics of interest on twitter: a first look. Proceedings of the fourth workshop on Analytics for noisy unstructured text data. https://doi.org/10.1145/1871840.1871852
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