Using Entropy in Web Usage Data Preprocessing

Munk, Michal; Benko, Ľubomír

doi:10.3390/e20010067

Cited by 5 publications

(1 citation statement)

References 36 publications

(54 reference statements)

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“…Data preprocessing [1][2][3] which is an imperative stride and considered to be one of the prime methods that is useful in data mining (DM), have led to the enhancement on the quality of data that positively contributes improvement to the precision and accuracy level as well as the mining efficiency of a prediction model [4,5].…”

Section: Introductionmentioning

confidence: 99%

A modified genetic algorithm with a new crossover mating scheme

Delima

Sison

Medina

2019

IJEEI

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This study introduced the Inversed Bi-segmented Average Crossover (IBAX), a novel crossover operator that enhanced the offspring generation of the genetic algorithm (GA) for variable minimization and numerical optimization problems. An attempt to come up with a new mating scheme in generating new offspring under the crossover function through the novel IBAX operator has paved the way to a more efficient and optimized solution for variable minimization particularly on premature convergence problem using GA. A total of 597 records of student-respondents in the evaluation of the faculty instructional performance, represented by 30 variables, from the four State Universities and Colleges (SUC) in Caraga Region, Philippines was used as the dataset. The simulation results showed that the proposed modification on the Average Crossover (AX) of the genetic algorithm outperformed the genetic algorithm with the original AX operator. The GA with IBAX operator combined with rank-based selection function had removed 20 or 66.66% of the variables while 13 or 43.33% of the variables were removed when GA with AX operator and roulette wheel selection function was used.

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Section: Introductionmentioning

confidence: 99%

A modified genetic algorithm with a new crossover mating scheme

Delima

Sison

Medina

2019

IJEEI

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Understanding of Time-Based Trends in Virtual Learning Environment Stakeholders’ Behaviour

Drlík

2019

The Challenges of the Digital Transformation in Education

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Preservation of sentiment in machine translation of low-resource languages: a case study on Slovak movie subtitles

Reichel,

Benko

2024

Lang Resources & Evaluation

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This research explores the effectiveness of machine translation from Slovak to English for sentiment analysis, specifically focusing on the translation of movie subtitles. The study employs a parallel corpus of segmented movie subtitles in both languages and utilizes IBM Watson™ Natural Language Understanding service and Google Translate. The research aims to assess the correlation between human-generated text and machine-translated text in sentiment analysis. A comparative analysis was also conducted using OpenAI to evaluate the sentiment of the Slovak text directly, without translation into English. The findings reveal a strong correlation between human text and machine translation, with a Pearson correlation coefficient of 0.86, and a correlation with OpenAI’s GPT model evaluation at 0.72. Despite the relatively high accuracy of the end-to-end solution using OpenAI, the methodology comprising machine translation followed by sentiment analysis in English was found to be significantly more precise. The research further investigates the challenges in translating specific language nuances, such as humor and vulgarism, and their impact on sentiment analysis. The study concludes that machine translation can be effectively used for sentiment analysis in Slovak, a flective language, and highlights the potential of advanced language models in low-resource languages. Future research directions include expanding the study to other text types and comparable languages beyond Slovak.

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Using Entropy in Web Usage Data Preprocessing

Cited by 5 publications

References 36 publications

A modified genetic algorithm with a new crossover mating scheme

A modified genetic algorithm with a new crossover mating scheme

Understanding of Time-Based Trends in Virtual Learning Environment Stakeholders’ Behaviour

Preservation of sentiment in machine translation of low-resource languages: a case study on Slovak movie subtitles

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