DiVoMiner

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DiVoMiner®: A Multimodal Data Research and Teaching Tool that Truly Makes Research Easier

DiVoMiner® is an online data platform that integrates quantitative, computational, and intelligent methods, focusing on content analysis, text mining, and generative AI-assisted research.

DiVoMiner® is a cloud platform that requires no software installation and can be accessed and used directly in a browser. It offers a simple operation method, allowing users to conduct multimodal content analysis without programming knowledge. It enables users to complete tasks that previously took 80% of their time (data processing and coding) in just 20% of the time, producing high-quality papers and reports, achieving the goal of "data in, value out."

Integrating Three Core Functions to Meet Three Major Research Needs of Multimodal Data

Quantitative (Content Analysis)

Based on classical content analysis methods, it innovatively conducts systematic, quantitative, and scientific analysis of multimodal data such as text, images, audio, and video. By quantifying specific content and themes in the data, it provides an objective description, explains differences and relationships, and offers a solid statistical foundation for research.

Computational (Algorithms)

Based on computability, it uses tools like text mining and network analysis to explore and reveal potential patterns and rules in complex data. It automatically identifies and categorizes text content, conducts sentiment analysis, topic modeling, and more, increasing the speed of data processing and extracting valuable information from the data.

Intelligent (Large Language Models)

Based on artificial intelligence, such as natural language processing and large language models, it quickly automates and optimizes the content analysis process. It uses generative AI to automatically generate categories and codes, and can also automatically analyze and summarize, significantly improving research efficiency and accuracy.

Playing a Key Role in Universities and Research Institutions

Research Tool: Enhancing Research Efficiency and Quality

DiVoMiner® is dedicated to quantifying multimodal data through content analysis methods, using text mining algorithm models to automatically identify and categorize text content, quickly processing big data, and further enhancing research efficiency and accuracy with the help of artificial intelligence technology. The integration of multiple technologies effectively supports researchers in conducting efficient research, significantly improving the quality and credibility of research papers.

Teaching Application: Enhancing Students' Data Science Research Skills

Teaching content analysis and big data analysis courses: Traditional content analysis teaching often faces challenges such as complex processes and inconvenient tools. DiVoMiner® helps solve these problems, assisting professors in designing and teaching cutting-edge data analysis courses, especially in content analysis and multimodal big data analysis. Student Practice: Through DiVoMiner®, students can participate in real projects, improve their practical skills and data analysis abilities, learn research methods, write high-quality theses, and lay a solid foundation for their future careers.

An Indispensable Tool for Laboratories: Optimizing Project Management and Team Collaboration

Efficient Project Management and Cost-Effectiveness: DiVoMiner® supports the creation of dedicated multimodal databases without high costs or redevelopment, while providing powerful data processing and analysis functions. Therefore, it can easily achieve efficient management of basic and applied research, optimizing project progress and resource allocation. Team Collaboration and Resource Sharing: Through task allocation, progress tracking, and resource sharing, DiVoMiner® promotes efficient collaboration among team members, enhancing overall research efficiency and quality of results.

Suitable for Diverse Research Fields and Use Cases

Policy Research

Helps researchers easily build dedicated databases and discover deep patterns of policy changes and impacts.

Data Journalism

Processes multimodal data and provides rich visualization tools.

Labor Market Research

Such as employment statistics, salary levels, and industry employment trends.

Corporate Image Research

Analyzes news reports and social media brand reputation, understands market insights, and evaluates competitors.

Media Communication Effectiveness

Analyzes the effectiveness of specific topics in media, factors influencing it, and how to optimize it.

Helps researchers deeply explore and understand the complex data of social phenomena, conducting longitudinal studies.

Market Marketing Data Analysis

Analyzes consumer behavior and market trends.

Teaching Effectiveness Evaluation

Analyzes student behavior and performance, improving education quality.

Health Communication Research

Analyzes public health and epidemiological data.

Adolescent Depression Research

Combines psychology with social network analysis to understand the complexity and multidimensional characteristics of adolescent depression, aiding early detection and intervention.

Biomedical Databases

Uses medical research and clinical data for quantitative statistical analysis.

Legal Research

Manages and analyzes legal texts, studies legal evolution and impacts.

Admissions Data Analysis

Helps educational institutions efficiently manage and analyze admissions data, such as application numbers, acceptance rates, and student backgrounds.

Food Safety Research

Analyzes food testing data and evaluates safety education levels.

Tourism City Image

Analyzes tourist behavior, evaluates the rationality of tourism resources, and manages safety and emergency responses.

Cultural Heritage Research

Enhances research depth and breadth, aiding in the protection and inheritance of historical culture.

International Relations Research

Explains global political and economic dynamics.

On-Campus Data Management

Analyzes student data, academic achievements, teaching content, and administrative records to achieve efficient data management and resource optimization.

Network Security

Analyzes user behavior data and optimizes security strategies.

Introduction to Academic Research Applications in Universities

Currently, DiVoMiner® users include universities such as Tsinghua University, Zhejiang University, East China Normal University, Beijing Normal University, Huazhong University of Science and Technology, Sun Yat-sen University, Beijing International Studies University, Shantou University, Shanghai University of International Business and Economics, Hong Kong Baptist University, Shanghai University, University of Nottingham Ningbo China, Beijing Normal University-Hong Kong Baptist University United International College, University of Macau, Hong Kong Shue Yan University, as well as professors and graduate students from institutions such as Shanghai Jiao Tong University, Chinese Academy of Social Sciences, Fudan University, and Communication University of China.

Thank you for your inquiry. We hope the above information is helpful to you. Please feel free to contact our professional consultants for further assistance.

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