نتایج جستجو برای: keywords 2

تعداد نتایج: 4223683  

Journal: :International Journal of Electrical and Computer Engineering (IJECE) 2019

Journal: :مجله علوم پزشکی رازی 0
صبا عرشی s arshi راضیه زرین فرد r zarrinfard iran university of medical sciences and health servicesدانشگاه علوم پزشکی و خدمات بهداشتی- درمانی ایرا سید محمد فرشته نژاد s.m fereshtehnejad iran university of medical sciences and health servicesدانشگاه علوم پزشکی و خدمات بهداشتی- درمانی ایرا آرش پورستار بجه میر a poorsattar bejeh mir iran university of medical sciences and health servicesدانشگاه علوم پزشکی و خدمات بهداشتی- درمانی ایرا ناصر جواهرتراش n javahertarash iran university of medical sciences and health servicesدانشگاه علوم پزشکی و خدمات بهداشتی- درمانی ایرا

background: allergic rhinitis (ar), the most prevalent allergic disease, has a rising trend in the world and has significantly impaired the quality of life of the patients. aeroallergens are the major cause of allergic rhinitis and among them pollens are the main allergens responsible for allergic rhinitis in iran

2015
Zhijuan Wang Yinghui Feng

Domain keywords extraction is very important for information extraction, information retrieval, classification, clustering, topic detection and tracking, and so on. TextRank is a common graph-based algorithm for keywords extraction. For TextRank, only edge weights are taken into account. We proposed a new text ranking formula that takes into account both edge and node weights, named F2N-Rank. E...

2017
Grégoire Lafay Nicolas Misdariis Mathieu Lagrange Mathias Rossignol

2002
Huaizhong KOU Georges Gardarin

With the advent of Internet since 1990’s, we have seen a tremendous growth in the volume of online text documents available on the Internet, news sources, and company-wide intranets. There is increasingly need for tools to deal with text documents. This white paper briefly presents the different perspectives of document categorization, the document similarity, and keywords extraction also is ap...

2010
Ben Choi Sumit Tyagi

In this paper we propose new methods for ordering the Web pages returned from search engines. Given a few search keywords, nowadays most search engines could retrieve more than a few thousand Web pages. The problem is how to order the retrieved Web pages and then to present the most relevant Web pages first. We propose new factors to allow relevant Web pages to be ranked higher. The factors inc...

Journal: :Transactions of the Japanese Society for Artificial Intelligence 2003

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