Text Categorization for Internet Content Filtering
نویسندگان
چکیده
منابع مشابه
Text Categorization for Internet Content Filtering
Text Filtering is one of the most challenging and useful tasks in the Multilingual Information Access field. In a number of filtering applications, Automated Text Categorization of documents plays a key role. In this paper, we present two of that applications (Hermes and POESIA), focused on personalized news delivery and Internet inappropriate content blocking, respectively. We are specifically...
متن کاملContent Based Message Filtering System by Using Text Categorization
OSN plays a vital role in day to day life. User can communicate with other user by sharing several types of contents like image, audio and video contents. Major issue in OSN(Online Social Network) is to preventing security in posting unwanted messages. Ability to have a direct control over the messages posted on user wall is not provided. Unwanted post will be directly posted on the public wall...
متن کاملFiltering objectionable internet content
As the Internet has evolved, it has become an information, entertainment, retail, and communication source that millions of people use as a matter of routine. Given the diversity of views and the ability to post any kind of information on the Internet, very often, material that is considered objectionable can be easily accessed on the Web. This is particularly problematic when children are able...
متن کاملText filtering at POESIA: a new Internet content filtering tool dor educational environments
Internet provides to the children an easy access to pornography and other harmful materials. In order to improve the effectiveness of existing filters, we present POESIA, a project which objetive is to develop and evaluate an extensible open-source Internet filtering software in educational environments.
متن کاملContent-based Text Categorization using Wikitology
The process of text categorization assigns labels or categories to each text document according to the semantic content of the document. The traditional approaches to text categorization used features from the text like: words, phrases, and concepts hierarchies to represent and reduce the dimensionality of the documents. Recently, researchers addressed this brittleness by incorporating backgrou...
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ژورنال
عنوان ژورنال: INTELIGENCIA ARTIFICIAL
سال: 2004
ISSN: 1988-3064,1137-3601
DOI: 10.4114/ia.v8i22.812