Survey on Personality Recognition Based on Social Media Data
Personality is a stable construction, which is associated with thoughts, emotions and behaviors of human. Any technology involved in understanding, analyzing and predicting human behaviors may benefit from personality recognition. Accurately recognizing the personality will contribute to the researc...
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| Format: | Article |
| Language: | zho |
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Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2023-05-01
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| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2212012.pdf |
| _version_ | 1827952425918529536 |
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| author | LIN Hao, WANG Chundong, SUN Yongjie |
| author_facet | LIN Hao, WANG Chundong, SUN Yongjie |
| author_sort | LIN Hao, WANG Chundong, SUN Yongjie |
| collection | DOAJ |
| description | Personality is a stable construction, which is associated with thoughts, emotions and behaviors of human. Any technology involved in understanding, analyzing and predicting human behaviors may benefit from personality recognition. Accurately recognizing the personality will contribute to the research of human-computer interaction, recommendation system, cyberspace security, etc. Social media provides high-quality data for personality recog-nition, while classic personality measurement methods such as self-report scales and projective tests can no longer match the social media data in the age of big data. Moreover, the current mainstream personality recognition methods based on machine learning still have lots of room for performance improvement. Therefore, this paper investigates the literature on personality recognition based on social media data, introduces the background knowledge of personality recognition and summarizes the research status according to the data types of recognition model input used, specifically based on social text data, social image data, social application data and multimodal data. Finally, this paper proposes seven future research directions of personality recognition based on social media data. |
| first_indexed | 2024-04-09T13:57:10Z |
| format | Article |
| id | doaj.art-cdc4cf14285c4133935eb7cff085ec09 |
| institution | Directory Open Access Journal |
| issn | 1673-9418 |
| language | zho |
| last_indexed | 2024-04-09T13:57:10Z |
| publishDate | 2023-05-01 |
| publisher | Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press |
| record_format | Article |
| series | Jisuanji kexue yu tansuo |
| spelling | doaj.art-cdc4cf14285c4133935eb7cff085ec092023-05-08T01:41:31ZzhoJournal of Computer Engineering and Applications Beijing Co., Ltd., Science PressJisuanji kexue yu tansuo1673-94182023-05-011751002101610.3778/j.issn.1673-9418.2212012Survey on Personality Recognition Based on Social Media DataLIN Hao, WANG Chundong, SUN Yongjie01. School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China 2. National Engineering Laboratory for Computer Virus Prevention and Control Technology, Tianjin 300384, China 3. Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin 300384, China 4. School of Languages and Culture, Tianjin University of Technology, Tianjin 300384, ChinaPersonality is a stable construction, which is associated with thoughts, emotions and behaviors of human. Any technology involved in understanding, analyzing and predicting human behaviors may benefit from personality recognition. Accurately recognizing the personality will contribute to the research of human-computer interaction, recommendation system, cyberspace security, etc. Social media provides high-quality data for personality recog-nition, while classic personality measurement methods such as self-report scales and projective tests can no longer match the social media data in the age of big data. Moreover, the current mainstream personality recognition methods based on machine learning still have lots of room for performance improvement. Therefore, this paper investigates the literature on personality recognition based on social media data, introduces the background knowledge of personality recognition and summarizes the research status according to the data types of recognition model input used, specifically based on social text data, social image data, social application data and multimodal data. Finally, this paper proposes seven future research directions of personality recognition based on social media data.http://fcst.ceaj.org/fileup/1673-9418/PDF/2212012.pdfpersonality recognition; social media; big five model; myers-briggs type indicator |
| spellingShingle | LIN Hao, WANG Chundong, SUN Yongjie Survey on Personality Recognition Based on Social Media Data Jisuanji kexue yu tansuo personality recognition; social media; big five model; myers-briggs type indicator |
| title | Survey on Personality Recognition Based on Social Media Data |
| title_full | Survey on Personality Recognition Based on Social Media Data |
| title_fullStr | Survey on Personality Recognition Based on Social Media Data |
| title_full_unstemmed | Survey on Personality Recognition Based on Social Media Data |
| title_short | Survey on Personality Recognition Based on Social Media Data |
| title_sort | survey on personality recognition based on social media data |
| topic | personality recognition; social media; big five model; myers-briggs type indicator |
| url | http://fcst.ceaj.org/fileup/1673-9418/PDF/2212012.pdf |
| work_keys_str_mv | AT linhaowangchundongsunyongjie surveyonpersonalityrecognitionbasedonsocialmediadata |