Lexicodata: automated lexicometrics and data science applied to marketing and strategic communication in social networks and digital info-commercial platforms.

The “Lexicodata” project focuses on the integration of advanced automated lexicometric and data science techniques to improve the digital marketing and communication strategies of info-commercial industries. Lexicometrics, a discipline that analyzes the quantitative characteristics of texts, is combined with data science to provide a deeper and more accurate understanding of linguistic and behavioral patterns in digital media, social networks and other digital platforms.
The main goal of the project is to develop tools and methodologies that enable companies and organizations to analyze large volumes of textual data efficiently, using algorithms for extraction, cleaning, network visualization, anonymization, textometrics and automated lexicometrics. Lexicodata will identify trends, sentiments and recurring themes in the digital interactions that organizations have in the digital environment, such as social networks, blogs and forums.

The project is structured in several phases. In the first phase, textual data will be collected and preprocessed from various digital sources. The second phase will involve the development and training of automated lexicometric models to extract meaningful patterns. In the third phase, the results will be applied to practical marketing and communication cases, optimizing content strategies, audience segmentation and online reputation management.
Lexicodata not only seeks to innovate in the automation and accuracy of text analysis, but also in the applicability of these analyses for decision making in marketing and digital communication. It is expected that the tools developed will allow professionals in the sector to improve the personalization of their messages, identify market opportunities and manage crises more effectively. Finally, the project will contribute to the academic field by providing a theoretical and practical framework for the integration of lexicometrics and data science in marketing and management, thus fostering new research and applications in different disciplines.
The present project does NOT perform methodological procedures that have effects on human, animal or environmental dignity. The project does NOT include surveys, interviews, or other formats of direct inquiry with people. It is based on the extraction of commercial public information hosted on digital platforms.

The present project:
-Does NOT invite persons as participants
-does NOT use documents that are property of persons and which must authorize their use
-DOES NOT use databases that are NOT public
-does NOT use information and/or databases of persons who can be identified or individualized
-DOES NOT film, record voice or take pictures of any person.
-DOES NOT have members with conflicts of interest related to the project.
-Does NOT require travel to difficult locations involving risk.
-Does NOT use biological samples of human origin
Does NOT require permits for research on non-human biological resources.
-DOES NOT use animals.

automated lexicometrics, data science, digital marketing, digital communication, social networks, digital platforms, info-commercial industries.

Scientific articles1
Books0
Book chapters0
Papers1
Methodology development0
Software development0
Artifacts or devices0
Designs, theses, inventions, processes and other0

Expected training products
Direction of undergraduate degree projects3
Direction of graduate work (Master's degree)0
Direction of graduate degree work (Doctorate)0
Design of new courses0
Articulation of young researchers in the project0