Naïve Bayes-Support Vector Machine Combined BERT to Classified Big Five Personality on Twitter
نویسندگان
چکیده
Twitter is one of the most popular social media used to interact online. Through Twitter, a person's personality can be determined based on that thoughts, feelings, and behavior patterns. A person has five main personalities likes Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism. This study will make predictions using Naïve Bayes method – Support Vector Machine, Synthetic Minority Over Sampling Technique (SMOTE), Linguistic Inquiry Word Count (LIWC), Bidirectional Encoder from Transformers Representations (BERT). questionnaire was distributed people who collect become dataset in this research. The obtained processed into SMOTE balance data. as linguistic feature BERT semantic approach. perform weighting Machine classify Big Five Personalities. To help improve accuracy, Optuna Hyperparameter Tuning added model. an accuracy 87.82% results combining SMOTE, BERT, LIWC, where increases baseline.
منابع مشابه
Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data
Today, social networks are fast and dynamic communication intermediaries that are a vital business tool. This study aims at examining the views of those involved with Facebook stocks so that we can summarize their views to predict the general behavior of this stock and collectively consider possible Facebook stock price movements, and create a more accurate pattern compared to previous patterns...
متن کاملA Comparison of Support Vector Machines, Memory-based and Naïve Bayes Techniques on Spam Recognition
This paper presents a comparison of support vector machines (SVM), memory-based learning (MBL) and Naïve Bayes (NB) techniques for the classification of legitimate and spam mails. Although there are a number of method-comparative studies regarding spam mail filtering, most of the studies are tested on separate data sets. In order to evaluate the effectiveness of SVM, MBL and NB methods, we have...
متن کاملPersonality and prejudice: from Big Five personality factors to facets.
Extending our previous research on personality and prejudice, we tested the predictive power of Big Five facet compared with factor scores in three studies. Study 1 (N=170) examined the predictive power of factors and facets when explaining generalized prejudice, a composite of four prejudice types. Study 2 (N=158) focused on sexism and Study 3 (N=80) examined the impact of personality and expe...
متن کاملAcoustic detection of apple mealiness based on support vector machine
Mealiness degrades the quality of apples and plays an important role in fruit market. Therefore, the use of reliable and rapid sensing techniques for nondestructive measurement and sorting of fruits is necessary. In this study, the potential of acoustic signals of rolling apples on an inclined plate as a new technique for nondestructive detection of Red Delicious apple mealiness was investigate...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
سال: 2022
ISSN: ['2580-0760']
DOI: https://doi.org/10.29207/resti.v6i6.4378