Zhuqing Zhang | Internet | Best Researcher Award Posted on 19/09/202419/09/2024 by sciencefatherLeave a Comment on Zhuqing Zhang | Internet | Best Researcher Award Dr. Zhuqing Zhang | Internet | Best Researcher Award Research and Innovation: She has contributed to advanced research, such as her work on the “Prediction techniques of movie box office using neural networks and emotional mining,” which demonstrates her innovation and ability to apply cutting-edge technology to practical issues in media studies. Dr . Zhuqing Zhang, Nanjing University, China Profile OrcID 🎓Early Academic Pursuits Zhuqing Zhang is a dedicated young scholar from China currently pursuing a doctorate at Nanjing University. With a focus on the basic theories of journalism, communication, and new media, Zhuqing has established a solid academic foundation throughout her studies. Her diverse multidisciplinary background has enabled her to excel in both theoretical research and practical exploration. During her doctoral studies, she has consistently demonstrated excellence in coursework, showcasing a strong capacity for independent academic inquiry and research. 💼Professional Endeavors Zhuqing Zhang’s professional journey is marked by a broad understanding of network media, along with the application of communication theories in emerging technological landscapes. While she has not been engaged in consultancy or industry projects, her academic trajectory reflects her deep commitment to the academic realm, with a solid grasp of research methodologies and communication networks. 🔬 CONTRIBUTIONS AND RESEARCH FOCUS Zhuqing has made significant contributions to the analysis and prediction of movie box office performance through the use of neural networks and emotional mining techniques. She employed the Word2vec algorithm to develop a feature thesaurus specific to the movie domain. Additionally, Zhuqing integrated emotional coloring adjectives and verbs into an emotional dictionary. By applying the TF-IDF algorithm, she successfully calculated emotional scores from movie reviews. This innovative approach culminated in the design of a predictive method for box office performance based on audience comments. Her research has provided valuable insights into the relationship between public sentiment and box office outcomes, offering decision-making support for the movie industry and related stakeholders. 🌍Impact and Influence Zhuqing Zhang’s work in emotional mining and box office prediction has had a notable impact on the way movie industry professionals understand audience feedback. Her research method, which connects multivariate linear regression with comment analysis, is innovative in its ability to offer predictive insights. This approach not only helps filmmakers but also provides crucial data for related management departments, influencing decision-making in the movie production and marketing sectors. 🏅ACADEMIC CITES Zhuqing Zhang’s most recent publication, co-authored with Meng Y. and Xiao D., is titled “Prediction Techniques of Movie Box Office Using Neural Networks and Emotional Mining,” published in Scientific Reports. This work, cited as Zhang, Z., Meng, Y. & Xiao, D. (2024), highlights her contribution to predictive analytics within the field of communication. The article has received significant attention, providing a foundation for further exploration of emotional analysis in communication and media studies. 📚LEGACY AND FUTURE CONTRIBUTIONS As a young researcher, Zhuqing Zhang has laid a strong foundation for a lasting academic legacy. Her work in neural networks, emotional analysis, and media communication is expected to influence future research in these fields. Zhuqing’s ability to fuse traditional communication theories with modern technological tools positions her as a forward-thinking scholar in her discipline. Her future contributions are anticipated to explore more comprehensive predictive models and offer solutions to complex problems in media management. 📰PUBLICATIONS Prediction Techniques of Movie Box Office Using Neural Networks and Emotional Mining Authors: Zhuqing Zhang, Yutong Meng, Daibai Xiao Journal: Scientific Reports
Zhuqing has made significant contributions to the analysis and prediction of movie box office performance through the use of neural networks and emotional mining techniques. She employed the Word2vec algorithm to develop a feature thesaurus specific to the movie domain. Additionally, Zhuqing integrated emotional coloring adjectives and verbs into an emotional dictionary. By applying the TF-IDF algorithm, she successfully calculated emotional scores from movie reviews. This innovative approach culminated in the design of a predictive method for box office performance based on audience comments. Her research has provided valuable insights into the relationship between public sentiment and box office outcomes, offering decision-making support for the movie industry and related stakeholders.