Results 31 to 40 of about 187,791 (308)
Exploiting Long-Term Dependency for Topic Sentiment Analysis
IEEE Access, 2020 Most existing unsupervised approaches to detect topic sentiment in social texts consider only the text sequences in corpus and put aside social dynamics, as leads to algorithm’s disability to discover true sentiment of social users. To address the
Faliang Huang +3 more
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Mining academic publications to automatically identify data sources
International Journal of Population Data Science, 2018 Background Discovering suitable datasets is an important part of health research, particularly for projects working with cohort data, but with the proliferation of so many national and international initiatives, it is becoming increasingly difficult for ...
Athanasios Anastasiou, Karen Tingay
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Machine learning for semi-automated scoping reviews
Intelligent Systems with Applications, 2023 Scoping reviews are a type of research synthesis that aim to map the literature on a particular topic or research area. Though originally intended to provide a quick overview of a field of research, scoping review teams have been overwhelmed in recent ...
Sharon Mozgai +6 more
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Weakly Supervised Learning of Objects, Attributes and their Associations [PDF]
, 2014 . When humans describe images they tend to use combinations of nouns and adjectives, corresponding to objects and their associated attributes respectively.
Zhiyuan Shi +11 more
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Guided Semi-Supervised Non-Negative Matrix Factorization
Algorithms, 2022 Classification and topic modeling are popular techniques in machine learning that extract information from large-scale datasets. By incorporating a priori information such as labels or important features, methods have been developed to perform ...
Pengyu Li +6 more
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, 2012 The Topic-Focus Database gives information about the ways in which languages give formal expression to information-structural categories such as Topic, Focus and Contrast, and their many subtypes.
CLARIN-NL, TDS Curator
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MMT: A Multilingual and Multi-Topic Indian Social Media Dataset
Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP), 2023 Social media plays a significant role in cross-cultural communication. A vast amount of this occurs in code-mixed and multilingual form, posing a significant challenge to Natural Language Processing (NLP) tools for processing such information, like language identification, topic modeling, and named-entity recognition.
Dwip Dalal +2 more
openaire +2 more sources
Topic Modeling: Exploring the Processes, Tools, Challenges and Applications [PDF]
, 2023 Topic modeling is a data analysis technique that has become increasingly popular in recent years due to the growing availability of large datasets.
Mohammad Mohammadi (15466445) +1 more
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Topic analysis for topic-focused multi-document summarization [PDF]
, 2009 Topic-focused multi-document summarization has been a challenging task because the created summary is required to be biased to the given topic or query.
Wan, Xiaojun, Xiaojun Wan
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Predicting protein function via multi-label supervised topic model on gene ontology
Biotechnology & Biotechnological Equipment, 2017 As the biological datasets accumulate rapidly, computational methods designed to automate protein function prediction are critically needed. The problem of protein function prediction can be considered as a multi-label classification problem resulting in
Lin Liu +4 more
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