چکیده مقاله
With the advent of world wide web WWW , huge shift in the way people communicate has occurred Today, social medias has become a major communication channel for communication between the individuals and groups With the massive growth of data and users of these medias, by analyzing them, new horizon for knowledge discovery and users behavior pattern has opened One of the challenge is to inferring user interests from microblogging services like twitter Because user shared data are in textual context, extracting user requirements and interest are complex In this paper we introduce a state of art Social Medias User interests extraction system that use user s profile information tweets to extract his/her interests by enriching them from wikipedia articles By analyzing and modeling this information in semantic way and scoring user interests with sentiment analysis teqniques, we can present user interests profile which can be use further in recommender systems Results show that our system performed better than the traditional systems
کلیدواژهها
نویسندگان
Reza Tanzifi1
M S in Mazandaran University of Science and Technology
ایرج مهدوی
Prof in Mazandaran University of Science and Technology
Zeinab Noorian
Phd in University of New Brunswick, Canada
شیوه ارجاع
Tanzifi1, Reza and Mahdavi, Iraj and Noorian, Zeinab,1395,Sentiment-Based DUser Interests etection By Analyzing User Profile Data,3rd National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس سراسری نوآوری های اخیر در مهندسی برق و کامپیوتر19 شهریور 1395 · تهران