Machine intelligence based personality prediction using social profile data
| Autor: | Manoj Kumar Mv, R Hemanth, Bariti Pruthvi, K Rakesh Bharadwaj, GV Rohit |
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| Rok vydání: | 2020 |
| Předmět: |
Social network
Mean squared error Computer science business.industry media_common.quotation_subject Machine learning computer.software_genre Random forest Order (business) Personality Social media Artificial intelligence Big Five personality traits Personality Assessment Inventory business computer media_common |
| Zdroj: | 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT). |
| Popis: | Social network usage is growing exponentially every day. Different information are typically exchanged via social media platforms such as Facebook. User knowledge and what they have conveyed through changes in status are useful for learning about the behavior and human personality assessment. This work aims at setting up a framework that can predict the individual's personality based on Facebook user details. In order to analyze the individual's personality, big five model is used. The aim of this research is to predict the personality of user by using the status information present in their social media profile. Based on the analysis result, the user's personality is further classified into one of the categories present in the OCEAN model. The accuracy of personality prediction achieved by using Random Forest Classifier is 64.25%. The mean squared error is achieved using random forest regressor is 5.25. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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