A Lexicon LDA Model Based Solution to Theme Extraction of Chinese Short Text on the Internet

Wang, Xu; Zhou, Jing

doi:10.1007/978-981-10-7179-9_17

Cited by 1 publication

(2 citation statements)

References 12 publications

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“…The LDA is an unsupervised document topic generation model that contains a three-layer structure of words, topics, and documents that can be used to identify latent topic information in large-scale document collections or corpus (Wang et al, 2015). This considers that each word in an article is generated by "selecting a topic with a certain probability and selecting a word from that topic with a certain probability."…”

Section: Lda and Labeled Lda Topic Modelsmentioning

confidence: 99%

“…Labeled LDA models introduce labeled data and use supervised learning to establish the mapping relationship between labels and topics, which avoids the problem of difficult interpretation of topic vectors and significantly improves the classification accuracy (Wang et al, 2015). However, the acquisition of labeled data is labor-intensive and not suitable for situations where the data cover a wide range and have large sample sizes.…”

Section: Lda and Labeled Lda Topic Modelsmentioning

confidence: 99%

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Spatio-temporal evolution and influencing factors of geopolitical relations among Arctic countries based on news big data

Wen²,

Yuan³

et al. 2022

J. Geogr. Sci.

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Global warming has caused the Arctic Ocean ice cover to shrink. This endangers the environment but has made traversing the Arctic channel possible. Therefore, the strategic position of the Arctic has been significantly improved. As a near-Arctic country, China has formulated relevant policies that will be directly impacted by changes in the international relations between the eight Arctic countries (regions). A comprehensive and real-time analysis of the various characteristics of the Arctic geographical relationship is required in China, which helps formulate political, economic, and diplomatic countermeasures. Massive global real-time open databases provide news data from major media in various countries. This makes it possible to monitor geographical relationships in real-time. This paper explores key elements of the social development of eight Arctic countries (regions) over 2013-2019 based on the GDELT database and the method of labeled latent Dirichlet allocation. This paper also constructs the national interaction network and identifies the evolution pattern for the relationships between Arctic countries (regions). The following conclusions are drawn. (1) Arctic news hotspot is now focusing on climate change/ice cap melting which is becoming the main driving factor for changes in geographical relationships in the Arctic. (2) There is a strong correlation between the number of news pieces about ice cap melting and the sea ice area. (3) With the melting of the ice caps, the social, economic, and military activities in the Arctic have been booming, and the competition for dominance is becoming increasingly fierce. In general, there is a pattern of domination by Russia and Canada.

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Section: Lda and Labeled Lda Topic Modelsmentioning

confidence: 99%

Section: Lda and Labeled Lda Topic Modelsmentioning

confidence: 99%