-
آرشیو :
نسخه پاییز 1399
-
نوع مقاله :
پژوهشی
-
کد پذیرش :
1372
-
موضوع :
سایر شاخه های علوم رایانه
-
نویسنده/گان :
آرزو حمیدی، عبدالرضا حاتم لو
-
کلید واژه :
خلاصه سازی متن، تحلیل احساسات، الگوریتم بهینه سازی فاخته، ابزار ارزیابی .ROUGE
-
مراجع :
[1] Rajabioun, Ramin. "Cuckoo optimization algorithm." Applied soft computing 11, no. 8 (2011): 5508-5518.
[2] Richmond, W. K. (1965). Teachers and machines: an introduction to the theory and practice of programmed learning. Collins.
[3] Shaikh, M. A. M., Prendinger, H., & Mitsuru, I. (2007, September). Assessing sentiment of text by semantic dependency and contextual valence analysis. In International conference on affective computing and intelligent interaction (pp. 191-202). Springer, Berlin, Heidelberg.
[4] Zheng, H., & Zhou, Y. (2012). A novel cuckoo search optimization algorithm based on Gauss distribution. Journal of Computational Information Systems, 8(10), 4193-4200.
[5] Rautray, R., & Balabantaray, R. C. (2018). An evolutionary framework for multi document summarization using Cuckoo search approach: MDSCSA. Applied computing and informatics, 14(2), 134-144.
[6] Sarkar, K. (2013). Automatic Single Document Text Summarization Using Key Concepts in Documents. JIPS, 9(4), 602-620.
[7] Nenkova, A. (2005). Automatic text summarization of newswire: Lessons learned from the document understanding conference
[8] Mosa, Mohamed Atef, Arshad Syed Anwar, and Alaa Hamouda. "A survey of multiple types of text summarization based on swarm intelligence optimization techniques." (2018).
[9] Rouane, Oussama, Hacene Belhadef, and Mustapha Bouakkaz. "Combine clustering and frequent itemsets mining to enhance biomedical text summarization." Expert Systems with Applications 135 (2019): 362-373.
- صفحات : 42-54
-
دانلود فایل
( 1.06 MB )