Distributional hypothesis as isomorphism between word-word co-occurrence and analogical parallelograms. [PDF]
PLoS ONEMost of the modern natural language processing (NLP) techniques are based on the vector space models of language, in which each word is represented by a vector in a high dimensional space.
Takuma Torii +2 more
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Sentiment and structure in word co-occurrence networks on Twitter [PDF]
Applied Network Science, 2022 We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the two connected ...
Mikaela Irene Fudolig +4 more
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Text Authorship Identified Using the Dynamics of Word Co-Occurrence Networks. [PDF]
PLoS ONE, 2017 Automatic identification of authorship in disputed documents has benefited from complex network theory as this approach does not require human expertise or detailed semantic knowledge. Networks modeling entire books can be used to discriminate texts from
Camilo Akimushkin +2 more
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Detecting possible pairs of materials for composites using a material word co-occurrence network. [PDF]
PLoS ONEComposite materials are popular because of their high performance capabilities, but new material development is time-consuming. To accelerate this process, researchers studying material informatics, an academic discipline combining computational science ...
Chika Ishii +2 more
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Predicting Lexical Norms: A Comparison between a Word Association Model and Text-Based Word Co-occurrence Models [PDF]
Journal of Cognition, 2018 In two studies we compare a distributional semantic model derived from word co-occurrences and a word association based model in their ability to predict properties that affect lexical processing.
Hendrik Vankrunkelsven +3 more
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Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network [PDF]
Data Science and EngineeringTopic modeling aims to discover latent themes in collections of text documents. It has various applications across fields such as sociology, opinion analysis, and media studies.
Eric Austin +4 more
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A Nested Chinese Restaurant Topic Model for Short Texts with Document Embeddings
Applied Sciences, 2021 In recent years, short texts have become a kind of prevalent text on the internet. Due to the short length of each text, conventional topic models for short texts suffer from the sparsity of word co-occurrence information.
Yue Niu, Hongjie Zhang, Jing Li
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Neurobiology of Language, 2023 Word valence is one of the principal dimensions in the organization of word meaning. Co-occurrence-based similarities calculated by predictive natural language processing models are relatively poor at representing affective content, but very powerful in ...
Antonietta Gabriella Liuzzi +5 more
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Bibliometrics Study and Network Analysis of Co-authorship and Thematic Clusters of Ontology Researches [PDF]
پژوهشنامه علم سنجی, 2023 Purpose: The increasing growth of Ontology Studies in the world has created the need to target scientific research in this field; By using various scientometrics techniques, the status of these studies should be investigated and studied from different ...
Molouk Sadat Hosseini Beheshti +2 more
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Making sense of “buzzword” as a term through co-occurrences analysis
Heliyon, 2021 The study argues that while the existing research on buzzwords mainly involves the functional and pragmatic analysis of their individual specimen, such as “engagement”, “synergy” or “development”, an alternative approach can be implemented to look into ...
Elena N. Malyuga, Wayne Rimmer
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