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Most forms of text contain typos and many algorithms have been proposed to find them, but not much attention has been paid to understanding the occurrence of typos and their indirect significance in understanding how humans interact through text. In this paper we propose some ways in which typos can be exploited to reveal details about human interaction and closeness. We also look at how they can...
Exploring potentially useful information from huge amount of textual data produced by microblogging services has attracted much attention in recent years. An important preprocessing step of microblog text mining is to convert natural language texts into proper numerical representations. Due to the short-length characteristics of microblog texts, using term frequency vectors to represent microblog...
This paper firstly analyzes drawbacks of sequencing in microblog, and then proposed a ranking model based on contents to optimize the information flow of microblog. This model extracts characteristics which reflect users' interests from their microblog contents by text mining, and combines their tags to construct interest model for them, then calculates and ranks the weight of users' information flow...
Instagram is one of the popular social media applications used by a wide range of people around the world. The significant growth of active Instagram users affects the size of Instagram data. The more number of users, the larger and more various Instagram data is posted. In line with its popularity, in recent years many researchers begin to study and analyze it for various purposes, such as detecting...
Twitter is a user-friendly social network which deserves its real-time nature. With the help of an algorithm, the investigation can be made with regard to some of the real-time events such as earthquake. The target event is assumed and classified based on the keywords, number of words and their context. The probabilistic spatiotemporal model is provided which can find the Centre of the event location...
Authorship attribution is a growing field, moving from beginnings in linguistics to recent advances in text mining. Through this change came an increase in the capability of authorship attribution methods both in their accuracy and the ability to consider more difficult problems. Research into authorship attribution in the 19th century considered it difficult to determine the authorship of a document...
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