Journal of advances in information science and technology
Volume 2, Issue 2, February 2024
1.
Product Review Classification from Twitter Data using Semisupervised
Learning
Vinamra Singh
Pages: 1 - 8
Twitter and similar microblogging platforms have
gained popularity in Latin America, fostering communities
discussing various topics, including product experiences. As
businesses aim to understand customer preferences, sentiment
analysis and topic understanding become crucial. This paper
focuses on classifying short-text comments from product reviews
extracted from Twitter. Two semisupervised techniques, Label
Propagation and a variation of Structural Learning, are employed to improve classification performance with limited labeled
data. The challenges posed by short text and noisy data are
addressed, and experimental results are presented, showcasing
the effectiveness of the proposed methods compared to traditional
supervised learning. Future directions for further improvements
are also discussed.
2.
Exploration of a new model for cultivating innovative talents in universities under the background of "new engineering & artificial intelligence"
Xiang Chen, Fangping Chi, Weichun Shen
Pages: 9 - 16
In response to the evolving demands for innovative and entrepreneurial talents in the era of new engineering and artificial intelligence in Chinese society, after conducting a comprehensive analysis of the challenges currently faced by applied universities in the context of entrepreneurial education, it introduces a newmodel for nurturing innovative and entrepreneurial talents, coined as the "horizontal integration & vertical progression" model. It is driven by artificial intelligence technology and involves the revitalization of educational philosophies and innovative talent development strategies. It seamlessly integrates entrepreneurial education with specialized education, initiating a comprehensive reform in talent cultivation. In practical implementation, with the main force of reform, it is necessary to collaborate with strong related majors to carry out interdisciplinary and integrated training plans and curriculum system reforms, establish a "four dimensional integration" team of innovation and innovation mentors, and build a diversified innovation and training support platform. The implementation of the new model not only aids students better adapt to the needs of the new engineering and artificial intelligence era, but also promotes innovation in talent cultivation in applied universities, improves education quality, and enhances competitiveness.