A machine learning approach for celebrity profiling

Kavadi, Durga Prasad; Al‐Turjman, Fadi; Reddy, K. Adi Narayana; Patan, Rizwan

doi:10.1504/ijahuc.2021.119091

Cited by 3 publications

(2 citation statements)

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“…Reddy et al [22] proposed document specific term weight measure for author profiling. Kavadi et al [12] proposed novel method called the SPW approach has been introduced. The SPW approach achieved the highest accuracies in comparison to existing methods for celebrity profiling.…”

Section: Literature Surveymentioning

confidence: 99%

Contextually Propagated Term Weight based Approach for Author Profiling: Gender, Age and Language Variety Prediction

Swapna M

2024

jes

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Author profiling creates characterization of an author based on attributes such as age, gender, language, dialect region variety, personality and so on. In recent years it has garnered significant attention for its varies applications across forensic linguistics, marketing, cybersecurity and social media analytics. Most of the research focused on stylistic, content based and term weight measures based feature representations. We observed that context semantics is not considered in the feature representation. In this propose contextually propagated term weight measures for feature representation. We implemented SVM, Random Forest and XG Boost machine learning algorithms on those feature representations. The results demonstrated that the proposed contextually propagated term weight with inverse category frequency outperformed the existing methods.

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Section: Literature Surveymentioning

confidence: 99%

Contextually Propagated Term Weight based Approach for Author Profiling: Gender, Age and Language Variety Prediction

Swapna M

2024

jes

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“…The ADO interface uses RecordSets objects. It not only supports multiple languages to access databases and output query results, but also links ODBC databases, such as SQL Server, Access, Oracle and so on [28,29]. In MFC, statements are needed to refer to type libraries that support ADO components.…”

Section: Database Implementationmentioning

confidence: 99%

Multimedia teaching system based on art interaction technology

Chen

2022

COMSIS J

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With the development of the times, traditional classroom education has gradually failed to meet the needs of teaching. Now, with the application of computers in modern education, hybrid learning has developed rapidly in the field of education. How to promote the better development of hybrid learning has become a new research hot spot. Therefore, this paper aims at improving the MOOC platform, which is the largest application of hybrid learning. It integrates animation technology and multimedia technology, and designs a multimedia-teaching platform based on art interaction technology, which effectively improves the attraction of MOOC platform to learners. Firstly, this paper introduces multimedia technology, animation technology and interactive animation technology in detail, and applies them to MOOC platform. Secondly, according to the analysis of the research results of teaching platform requirements, the design principles and system framework of this paper are given. Finally, the information processing system of B/S architecture mode is built to make the improved platform have high response speed and data processing ability. In addition, this paper constructs a small-scale multimedia hybrid learning platform for testing, and finds that the multimedia teaching platform based on art interactive technology designed in this paper can well promote students' autonomous learning and improve the effect of students' learning.

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