| Paper Abstract and Keywords |
| Presentation |
2021-12-17 11:25
Trend Factor Analysis based on the Relationship between Post Text and Images and the Number of Likes
Reishi Amitani, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita (Tokushima Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
The purpose of this study is to investigate the trends of social media and propose an analysis method to explore the factors that support the buzz phenomenon on Twitter. We devised an analysis method that uses both text and images. We investigated whether there is a relationship between the respective features of the text and images of tweets, and how the relationship between these features relates to the number of likes and RTs, which are indicators of popularity. We trained a multitask neural network that takes as input the features extracted from images and text, outputs the number of likes and RTs, and then extracts feature vectors of the same dimension from the two inputs (images and text) from the middle layer. By calculating the distance between these feature vectors, we analyzed the relationship between the number of likes and the number of RTs. The results showed that the average vector of BERT and InceptionResNetV2 was a predictor of the number of likes and RTs. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Multi-task learning / Buzz classification / Social media / Trend analysis / / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Conference Information |
| Committee |
HCGSYMPO |
| Conference Date |
2021-12-15 - 2021-12-17 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
HCGSYMPO |
| Conference Code |
2021-12-HCGSYMPO |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Trend Factor Analysis based on the Relationship between Post Text and Images and the Number of Likes |
| Sub Title (in English) |
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| Keyword(1) |
Multi-task learning |
| Keyword(2) |
Buzz classification |
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Social media |
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Trend analysis |
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| 1st Author's Name |
Reishi Amitani |
| 1st Author's Affiliation |
Tokushima University (Tokushima Univ.) |
| 2nd Author's Name |
Kazuyuki Matsumoto |
| 2nd Author's Affiliation |
Tokushima University (Tokushima Univ.) |
| 3rd Author's Name |
Minoru Yoshida |
| 3rd Author's Affiliation |
Tokushima University (Tokushima Univ.) |
| 4th Author's Name |
Kenji Kita |
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Tokushima University (Tokushima Univ.) |
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Author-1 |
| Date Time |
2021-12-17 11:25:00 |
| Presentation Time |
15 minutes |
| Registration for |
HCGSYMPO |
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