Name
Title | ||
|---|---|---|
Followee recommendation based on topic extraction and sentiment analysis from tweets. |
Abstract | ||
|---|---|---|
Twitter has become a popular social media service, accumulating and distributing vast amounts of information for its numerous users. One feature of Twitter is that it enables a user to follow other users, who can obtain the information her/his followees tweeted. However, it is difficult for the user to find a promising followee because there are so many Twitter users. Therefore, numerous studies have investigated the issue of recommendation of followees for Twitter users. Many methods recommend followees based on topics extracted from their tweets. It seems beneficial to recommend followees who not only have similar interests but also similar sentiments to those of the user. We propose a system that recommends a followee based on topics and their sentiments about topics. In this paper, as a first step of our study on followee recommendation, new followee candidates are limited to people who are being followed by at least one of the user's followees but who the user is not following. In this paper, we refer to the target persons as \"ff-users.\" (1) For each ff-user, our proposed system uses clustering to extract common topics between the user and ff-user, and then it extracts the sentiments of their tweets about each of the common topics. (2) As a result, those ff-users who have a larger number of similar sentiments related to a larger number of common topics are recommended as new followees. (3) The system visualizes user sentiments and those of candidate followees using a radar chart. We also conducted an experiment, and confirmed the validity of our proposed system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2837185.2837234 | iiWAS |
Field | DocType | Citations |
Radar chart,Data mining,World Wide Web,Social media,Computer science,Sentiment analysis,Microblogging,Cluster analysis | Conference | 5 |
PageRank | References | Authors |
0.47 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuki Yamamoto | 1 | 16 | 1.47 |
| Tadahiko Kumamoto | 2 | 92 | 15.22 |
| Akiyo Nadamoto | 3 | 189 | 34.24 |