Friend Recommendation Based on Analysis of Users’ Emotions and Text Semantics

Authors

Qun Liu, Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Hongtao Sun, Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Lianghao Ji, Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;

Abstract

Abstract: The interests and emotions of users are often varied in their real lives. On the contrary, some other features (such as the profiles) of micro-blog are always unchangeable and they cannot describe the users’ characteristics very well. Then a novel friend recommendation method merged users’ text semantics with emotions was proposed. In the model, in order to compute the similarity of friends, some text content features from users’ micro-blog are extracted and time factor was introduced. Then further consideration on the users' emotional characteristics was taken to compute the users’ similarity through analyzing the emotional words in micro-blog text. Then the final results were gotten. The results of the experiments show that the model can effectively enhance the accuracy and rationality of friend recommendation by adding text semantics and emotions analysis.

Recommended Citation

Liu, Qun; Sun, Hongtao; and Ji, Lianghao (2020) "Friend Recommendation Based on Analysis of Users’ Emotions and Text Semantics," Journal of System Simulation: Vol. 28: Iss. 11, Article 28.
DOI: 10.16182/j.issn1004731x.joss.201611028
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss11/28

First Page

2852

Revised Date

2015-04-08

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201611028

Last Page

2859

CLC

TP391.3

Recommended Citation

Liu Qun, Sun Hongtao, Ji Lianghao. Friend Recommendation Based on Analysis of Users’ Emotions and Text Semantics[J]. Journal of System Simulation, 2016, 28(11): 2852-2859.

DOI

10.16182/j.issn1004731x.joss.201611028