نتایج جستجو برای: text documents
تعداد نتایج: 222232 فیلتر نتایج به سال:
text classification is an important research field in information retrieval and text mining. the main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. since word detection is a difficult and time consuming task in persian language, bayesian text classifier is an appropriate approach to deal with different...
Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
Text Classification is an important research field in information retrieval and text mining. The main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. Since word detection is a difficult and time consuming task in Persian language, Bayesian text classifier is an appropriate approach to deal with different...
The World Wide Web has become the largest information source in recent years, and search engines are indispensable tools for finding needed information from the Web. While modern search engine technology has its roots in text/information retrieval techniques, it also consists of solutions to unique problems arising from the Web such as web page crawling and utilizing linkage information to impr...
Background and aim: Four text mining methods are examined and focused on understanding and identifying their properties and limitations in subject discovery. Methodology: The study is an analytical review of the literature of text mining and topic modeling. Findings: LSA could be used to classify specific and unique topics in documents that address only a single topic. The other three text min...
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