Application of Decision Tree‐Based Classification Algorithm on Content Marketing

PurposeThe research paper aims to study dissatisfaction of teleworking employees in Spain during the Covid-19 health pandemic in order to propose three models: sociodemographic profile of the teleworking dissatisfied employee; advantages and disadvantages for the teleworking dissatisfied employee and advantages for the teleworking dissatisfied employee.Design/methodology/approachThis study uses official open data obtained from the Spanish National Statistical Institute (INE, 2022) through Decision Trees statistical multivariable models implementing Classification and Regression Trees and Recursive Partitioning and Regression Trees techniques to determine the variables that can influence the satisfaction or dissatisfaction of the subjects.FindingsThis investigation offers three models with two sociodemographic profiles of dissatisfied teleworking employee, who is a high/middle-level manager/employee around 45 years old, and she/he lives with the partner. Regarding the most important advantage of teleworking, employees consider “use/saving of time” and as disadvantage “worse organization and coordination of work”.Originality/valueThis research provides empirical evidence with inductive reasoning on understanding the challenges of teleworking dissatisfied employees in Spain not only in turbulent times but also in “normalcy” to improve overall teleworker well-being and accomplish company’s and organization’s long-term objectives for better productivity and effectivity. The study has high practical value due to the integral approach incorporating dissatisfaction as a driver that can trigger negative behaviours towards the organizations and that is seldom addressed in the literature. Additionally, this paper could provide some new ideas for accomplishing “Spain Digital 2025” and “Europe’s Digital Decade: 2030” plans on institutional level.

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“…The analysis procedure has been carried out using the Decision Trees (DTs) technique with classifier type (Chen et al. , 2022).…”

Section: Methodsmentioning

confidence: 99%

“…The analysis procedure has been carried out using the Decision Trees (DTs) technique with classifier type (Chen et al, 2022). The algorithm uses a part of the data to separate the sample into non-overlapping sections for the value of each node with the most common response.…”

Section: Disadvantages Of Teleworkingmentioning

confidence: 99%

Inductive open data study on teleworking dissatisfaction in Spain during the Covid-19 pandemic

Curiel

Antonovica

Morales

2023

IJM

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“…The dominance pattern of the G7 has been observed across most scientific fields, reflecting the high economic activity and level of these countries.(Y. Liu & Yang, 2022) . The total count of countries and territories from the 2975 publications with country or territory information was 2857 (an author may be affiliated with more than one country or territory, or a publication may be written by authors from different countries or territories).…”

Section: Collaboration Indexmentioning

confidence: 99%

Bibliometric analysis of publications on the use of artificial intelligence in digital marketing

Lazcano-Cortés

2023

JBAB

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This study analyzes the evolution of research on machine learning in marketing from 1991 to November 16, 2022. The search was carried out in several databases and the terms "machine learning" and "marketing" were used. 2,358 articles were found, from which important indicators were obtained: 2021 has been the year with the highest publication activity with 234 articles. The most productive authors are from various fields, including computer science, marketing, and data analysis. The most cited article focuses on the application of deep learning in the fashion industry. The results suggest that research on aprendizaje automático in marketing is growing rapidly and has the potential to transform marketing practices. The need for more research is highlighted to assess the quality of the research and its impact on the scientific community. Bibliometric analysis is a tool that allows the researcher to carry out bibliographic searches effectively, since it generates an overview of the trends in research on the subject

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“…The F1-score, which is the harmonic mean of recall and precision, is used when it's complicated to choose whether to go with recall or precision. Each metrics' corresponding mathematical equation is represented below [48,49,50].…”

Section: ) Lstmmentioning

confidence: 99%

Strengthening Sentence Similarity Identification Through OpenAI Embeddings and Deep Learning

Korade,

Salunke,

Bhosle

et al. 2024

IJACSA

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Discovering similarity between sentences can be beneficial to a variety of systems, including chatbots for customer support, educational platforms, e-commerce customer inquiries, and community forums or question-answering systems. One of the primary issues that online question-answering platforms and customer service chatbots have is the large number of duplicate inquiries that are placed on the platform. In addition to cluttering up the platform, these repetitive queries degrade the content's quality and make it harder for visitors to locate pertinent information. Therefore, it is necessary to automatically detect sentence similarity in order to improve the user experience and quickly match user expectations. The present study makes use of the Quora dataset to construct a framework for similarity discovery in sentence pairs. As part of our research, we have built additional attributes based on textual data for improving the accuracy of similarity prediction. The study investigates several vectorization methods and their influence on accuracy. To convert preprocess text input to a numerical vector, we implemented Word2Vec, FastText, Term Frequency-Inverse Document Frequency (TF-IDF), CountVectorizer (CV), and OpenAI embedding. In order to judge sentence similarity, the embedding offered by several approaches was used with various models, including cosine similarity, Random Forest (RF), AdaBoost, XGBoost, LSTM, and CNN. The result demonstrates that all algorithms trained on OpenAI embedding yield excellent outcomes. The OpenAI-created embedding offers excellent information to models trained on it and has significant potential for capturing sentence similarity.

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Application of Decision Tree‐Based Classification Algorithm on Content Marketing

Cited by 17 publications

References 38 publications

Inductive open data study on teleworking dissatisfaction in Spain during the Covid-19 pandemic

Inductive open data study on teleworking dissatisfaction in Spain during the Covid-19 pandemic

Bibliometric analysis of publications on the use of artificial intelligence in digital marketing

Strengthening Sentence Similarity Identification Through OpenAI Embeddings and Deep Learning

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