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Poster presents Coconut Libtool 2.0, enhancing data integration and sentiment analysis for users.
Textual analysis remains challenging for researchers, students and practitioners without programming expertise, creating barriers in social sciences and humanities research. This poster presents Coconut Libtool 2.0, an enhanced web‐based application that makes advanced textual analysis and visualization accessible to everyone. Building upon version 1.0, Coconut Libtool 2.0 significantly expands data source integration to include HathiTrust digital library, Dimensions, and PubMed, alongside existing Scopus, Web of Science, Lens, and customized file support. Enhanced text and visualization techniques include established methods for topic modeling, network text analysis, and keyword stemming, in addition to new features such as burst detection, sentiment analysis, and scattertext visualization.
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Lamba et al. (2025) studied this question.
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