نتایج جستجو برای: text
تعداد نتایج: 165983 فیلتر نتایج به سال:
persian natural language processing (nlp) researchers have many limitations to access linguistic tools which are suitable for text processing. therefore, researchin persian text processing is very limited. since dataset is an important requirement for experiments and their evaluation, we aimed to create appropriate corpora for information retrieval and natural language processing in persian. th...
با توجه به شیوع بیماری اسکیزوفرنی در بیماران سرپایی و بسستری در بیمارستان فارابی و عدم اطلاعات دقیق در مورد اپیدمیولوژی این بیماری، مطالعه جهت همه گیری شناسی بیماری انجام شده است . هدف از مطالعه دانستن همه گیری شناسی بیماری و مقایسهء آن با textهای مرجع می باشد برای انجام این منظور پرونده کلیه بیماران با تشخیص نهایی اسکیزوفرنی که در بیمارستان فارابی در سال 1376 بستری شده بودند بررسی شد. در بررسی...
this study was conducted to investigate the effect of favorite-text on iranian intermediate efl learners’ vocabulary development. sixty learners from nour-al-mahdi english institute participated in the present study. having been homogenized by oxford placement test (opt), they were randomly assigned into two groups of 30, control and experimental. then both groups sat for a pre-test which was a...
As computer networks become the backbones of science and economy, enormous quantities documents become available. So, for extracting useful information from textual data, text mining techniques have been used. Text Mining has become an important research area that discoveries unknown information, facts or new hypotheses by automatically extracting information from different written documents. T...
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...
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