A Normalization Method of Distorted Korean SMS Sentences for Spam Message Filtering
نویسندگان
چکیده
منابع مشابه
SMS spam filtering: Methods and data
Mobile or SMS spam is a real and growing problem primarily due to the availability of very cheap bulk pre-pay SMS packages and the fact that SMS engenders higher response rates as it is a trusted and personal service. SMS spam filtering is a relatively new task which inherits many issues and solutions from email spam filtering. However it poses its own specific challenges. This paper motivates ...
متن کاملText normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering
The rapid popularization of smartphones has contributed to the growth of online Instant Messaging and SMS usage as an alternative way of communication. The increasing number of users, along with the trust they inherently have in their devices, makes such messages a propitious environment for spammers. In fact, reports clearly indicate that volume of spam over Instant Messaging and SMS is dramat...
متن کاملTowards SMS Spam Filtering: Results under a New Dataset
The growth of mobile phone users has lead to a dramatic increasing of SMS spam messages. Recent reports clearly indicate that the volume of mobile phone spam is dramatically increasing year by year. In practice, fighting such plague is difficult by several factors, including the lower rate of SMS that has allowed many users and service providers to ignore the issue, and the limited availability...
متن کاملA Machine-Translation Method for Normalization of SMS
Normalization of SMS is a very important task that must be addressed by the computational community because of the tremendous growth of services based on mobile devices, which make use of this kind of messages. There exist many limitations on the automatic treatment of SMS texts derived from the particular writing style used. Even if there are suficient problems dealing with this kind of texts,...
متن کاملSMS Spam Filtering Technique Based on Artificial Immune System
The Short Message Service (SMS) have an important economic impact for end users and service providers. Spam is a serious universal problem that causes problems for almost all users. Several studies have been presented, including implementations of spam filters that prevent spam from reaching their destination. Naïve Bayesian algorithm is one of the most effective approaches used in filtering te...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: KIPS Transactions on Software and Data Engineering
سال: 2014
ISSN: 2287-5905
DOI: 10.3745/ktsde.2014.3.7.271