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Learning Sentiments using Co-occurrence Analysis
2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C), 2021As part of natural language processing, sentiment analysis intends to investigate the author's emotions while writing a given text. This paper proposes a new method that uses a co-occurrence graph that can be automatically extended in a background reading (and learning) process, when a person's additional text source is available.
Nirach Romyen +3 more
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Biological Information Extraction and Co-occurrence Analysis
Methods in molecular biology, 2014Nowadays, it is possible to identify terms corresponding to biological entities within passages in biomedical text corpora: critically, their potential relationships then need to be detected. These relationships are typically detected by co-occurrence analysis, revealing associations between bioentities through their coexistence in single sentences and/
Georgios A, Pavlopoulos +3 more
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Co-occurrence analysis of scientific documents in citation networks
International Journal of Knowledge-based and Intelligent Engineering Systems, 2020Citation pattern analysis is an important component for measuring research performance of the author. Co-citation analysis has been used as an effective method to find citation pattern analysis, but it does not take co-occurrence analysis among authors. A method to find co-occurrence analysis among authors is proposed in this work.
Muppidi, Satish, Reddy, K. Thammi
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Co-occurrence analysis of speech waveforms
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985The co-occurrence matrix, a two-dimensional histogram of pairs of sample amplitudes, is explored as a representation of the digital speech waveform. Co-occurrence matrix representations support a hypothesis-testing approach to digital speech analysis. This approach is pursued in the formulation of a quantitative (chi-square) measure of sample amplitude
Demetri Terzopoulos
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Conceptualization of place via spatial clustering and co-occurrence analysis
Proceedings of the 2009 International Workshop on Location Based Social Networks, 2009More and more users are contributing and sharing more and more contents on the Web via the use of content hosting sites and social media services. These user-generated contents are tagged with terms characterizing the contents from the users' perspectives.
Deng, D., Chuang, T., Lemmens, R.
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Approximate 3D Partial Symmetry Detection Using Co-occurrence Analysis
2015 International Conference on 3D Vision, 2015This paper addresses approximate partial symmetry detection in 3D point clouds, a classical and foundational tool for analyzing geometry. We present a novel, fully unsupervised method that detects partial symmetry under significant geometric variability, and without constraints on the number and arrangement of instances.
Li, C. +3 more
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