ARTICLE
TITLE

Optimization Prediction of Big Five Personality in Twitter Users

SUMMARY

Various kinds of information can be acquired from social media platforms; one of them is on Twitter. User biographical information and tweets are the essential assets for research that can describe the Big Five Personality, including openness, conscientiousness, extraversion, agreeableness, and neuroticism. Several previous studies have tried the prediction of Big Five Personality. However, the authors found problems in how to optimize the work of the personality prediction system. So, in this study, Big Five Personality predictions were carried out on users of Twitter and improved the performance of the personality prediction system. We implement optimization techniques such as sampling, feature selection, and hyperparameter tuning to enhance the performance. This study also applies linguistic feature extraction, such as LIWC and TF-IDF. By using 287 Twitter users that have permitted their data to be crawled acquired from an online survey using Big Five Inventory (BFI), and applying all optimization techniques, the average accuracy result is 84.22% which is a 74.44% gain over the specified baseline.

 Articles related

Jimmy Nganta Ginting,Ronsen Purba,Erwin Setiawan Panjaitan    

Breast cancer is the one of leading causes of death among the women in many parts of the world.  According  to Global Cancer Observatory (GCO) data from WHO (2018) show that approximately 58,256 (16,7%) cancer cases were  found in Indonesi... see more


Afdhal Rizki Yessa, Mardi Hardjianto    

Clean water production has not been well considered between the balance of water use by the community and the production of clean water that is in accordance with the needs of the community. Prediction of water use in meeting the daily needs of the commu... see more

Revista: bit-Tech

Evi Purnamasari,Dian Palupi Rini,Sukemi Sukemi    

This research conducted classification testing on the study case of student graduation prediction in a university. It aims to assist the university in maintaining academic development and in finding solutions for improving timely graduation. This study c... see more


Akhmad Rezki Purnajaya    

The prediction of Compound-Protein Interactions (CPI) is an essential step in drug-target analysis for developing new drugs. Therefore, it needs a good incentive to develop a faster and more effective method to predicting the interaction between compound... see more


Kirti Dubey,Vivek Sharma    

In this paper an object oriented programing accuracy prediction system has been proposed based on unbiased iteration particle swarm optimization (UIPSO). First the object oriented modules have been uploaded in the framework then it is categorized in diff... see more