Results 1 to 10 of about 2,104,744 (292)
Sentiment and structure in word co-occurrence networks on Twitter
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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Modeling Long-Range Dynamic Correlations of Words in Written Texts with Hawkes Processes
Entropy, 2022 It has been clarified that words in written texts are classified into two groups called Type-I and Type-II words. The Type-I words are words that exhibit long-range dynamic correlations in written texts while the Type-II words do not show any type of ...
Hiroshi Ogura +3 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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Bounds of asymptotic occurrence rates of some patterns in binary words related to integer-valued logistic maps [PDF]
Discrete Mathematics & Theoretical Computer Science, 2009 In this article, we investigate the asymptotic occurrence rates of specific subwords in any infinite binary word. We prove that the asymptotic occurrence rate for the subwords is upper- and lower-bounded in the same way for every infinite binary word, in
Koji Nuida
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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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Causal Pathway Extraction from Web-Board Documents
Applied Sciences, 2021 This research aim is to extract causal pathways, particularly disease causal pathways, through cause-effect relation (CErel) extraction from web-board documents.
Chaveevan Pechsiri, Rapepun Piriyakul
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Utterance-final position and pitch marking aid word learning in school-age children [PDF]
Royal Society Open Science, 2017 We investigated the effects of word order and prosody on word learning in school-age children. Third graders viewed photographs belonging to one of three semantic categories while hearing four-word nonsense utterances containing a target word.
Piera Filippi +2 more
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Automatic Keywords Extraction Based on Co-Occurrence and Semantic Relationships Between Words
IEEE Access, 2020 Automatic keywords extraction is a method that extracts words or phrases from a document which can express the main idea of the document. In this paper, we propose an unsupervised keywords extraction framework for individual documents, which improves the
Xiangke Mao +3 more
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Learning Chinese Word Embeddings With Words and Subcharacter N-Grams
IEEE Access, 2019 Co-occurrence information between words is the basis of training word embeddings; besides, Chinese characters are composed of subcharacters, words made up by the same characters or subcharacters usually have similar semantics, but this internal ...
Ruizhi Kang +4 more
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