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Cereal-legume intercropping: a smart review using topic modelling [PDF]
IntroductionOver the last decade, there has been a growing interest in cereal-legume intercropping for sustainable agriculture. As a result numerous papers, including reviews, focus on this topic.
Sofie Landschoot +5 more
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Topic Modelling: Going beyond Token Outputs
Topic modelling is a text mining technique for identifying salient themes from a number of documents. The output is commonly a set of topics consisting of isolated tokens that often co-occur in such documents.
Lowri Williams +3 more
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Topic Modeling: A Comprehensive Review [PDF]
Topic modelling is the new revolution in text mining. It is a statistical technique for revealing the underlying semantic structure in large collection of documents.
Pooja Kherwa, Poonam Bansal
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Topic based document modeling for information filtering
Information Filtering (IF), which has been popularly studied in recent years, is one of the areas that applies document retrieval techniques for dealing with the huge amount of information. In IF systems, modelling user’s interest and filtering relevant
Tran Diem Hanh Nguyen
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Pemodelan topik pada dokumen paten terkait pupuk di Indonesia berbasis Latent Dirichlet Allocation
Introduction. Fertilizer is one of the most important production factors in the world of agriculture. It is crucial to increase the capacity of technology related to fertilizers.
Aris Yaman, Bagus Sartono, Agus M. Soleh
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Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework [PDF]
Maite Taboada, Prashanth Rao
exaly +2 more sources
Qualitative Comparison of Native and Machine-Translated Parliamentary Debates
Machine translation (MT) models have become increasingly accurate and widely accessible for multiple languages in recent years. They can potentially lift the barriers to applying NLP tools and methods to previously unsupported languages and boost ...
Ajda Pretnar Žagar
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Topic Modelling Discourse Dynamics in Historical Newspapers
This paper addresses methodological issues in diachronic data analysis for historical research. We apply two families of topic models (LDA and DTM) on a relatively large set of historical newspapers, with the aim of capturing and understanding ...
Jani Marjanen +4 more
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MAPPING THE CHATTER: SPATIAL METAPHORS FOR DYNAMIC TOPIC MODELLING OF SOCIAL MEDIA [PDF]
Topic modelling is a branch of Natural Language Processing (NLP) that deals with the discovery of conversation topics in a given document corpus. In social media, this translates into aggregating social media posts, e.g.
L. Morandini +2 more
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A Survey on Forms of Visualization and Tools Used in Topic Modelling
In this paper, we surveyed recent publications on topic modeling and analyzed the forms of visualizations and tools used. Expectedly, this information will help Natural Language Processing (NLP) researchers to make better decisions about which types of ...
Ruhaila Maskat +3 more
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