PAT-tree-based keyword extraction for Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
An Investigation and Conceptual Model of SMS Marketing
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 1 - Volume 1
An evaluation of statistical spam filtering techniques
ACM Transactions on Asian Language Information Processing (TALIP)
Multilingual Web retrieval: An experiment in English–Chinese business intelligence
Journal of the American Society for Information Science and Technology
User acceptance of wireless short messaging services: Deconstructing perceived value
Information and Management
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Web searching in Chinese: A study of a search engine in Hong Kong
Journal of the American Society for Information Science and Technology
International Journal of Mobile Communications
Chat mining: Predicting user and message attributes in computer-mediated communication
Information Processing and Management: an International Journal
Characteristics of character usage in Chinese Web searching
Information Processing and Management: an International Journal
Detection of financial statement fraud and feature selection using data mining techniques
Decision Support Systems
Content relevance and delivery time of SMS advertising
International Journal of Mobile Communications
Domain-specific Chinese word segmentation using suffix tree and mutual information
Information Systems Frontiers
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Short message service SMS is an important component of modern mobile services. Given unique characteristics of Chinese language, it is imperative to conduct study to understand characteristic of language usage patterns in Chinese SMS so that important facts like why and how people in China use SMS can be discovered. In this paper, we report an analysis of Chinese SMS logs from three different provinces in China. A computational approach was applied to extract n-grams from logs of SMS. The language usage patterns reported in this paper consist of two aspects: 1 most popular n-grams that represent what types of information were transmitted via SMS; 2 distribution of n-grams in comparison with Zipf laws. We discovered that, compared with other forms of free text in Chinese, SMS contains more conversational elements, which are expressed mostly in bigrams. Trigrams, 4-and 5-grams are less frequent but are closely connected to commercial activities, which may indicate the commercial needs of SMS users.