چکیده مقاله
The automatic identification of text subject is the basis for a variety of information analysis mechanisms, such as document classification, retrieval, and frontier identification of fields Therefore, the research on automatic identification methods of text subject is significant In This paper the key technologies of current text subject recognition are systematically investigated, including the method of obtaining topic words, the calculation of the correlation strength of knowledge units, and the subject analysis methods and practices for multi relationship fusion On the basis of summing up the shortcomings of the current text subject recognition methods, the paper proposes a comprehensive method for acquiring topic words, which is used in combination with the extraction range and the grammatical and semantic levels
کلیدواژهها
نویسندگان
Ali Naserasadi
Computer Group, Zarand Higher Education Complex, Zarand, Kerman, Iran,
Majid Estilayee
Technical and Engineering, Payam e Nour, Tehran, Iran,
شیوه ارجاع
Naserasadi, Ali and Estilayee, Majid,1399,A Survey on Modern Automatic Text Subject Recognition Methods,7th National Congress of New Findings of Iranian Electrical Engineering,Tehran
ارائهشده در
مجموعه مقالات هفتمین کنگره ملی تازه یافته های مهندسی برق ایران20 خرداد 1399 · تهران