scholarly journals Microblog topic evolution computing based on LDA algorithm

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 509-516 ◽  
Author(s):  
Feng Jian ◽  
Wang Yajiao ◽  
Ding Yuanyuan
Keyword(s):  
Latent Dirichlet Allocation ◽  
Evolutionary Relationship ◽  
Analysis Model ◽  
Calculation Algorithm ◽  
Topic Extraction ◽  
Topic Evolution ◽  
Evolution Analysis ◽  
Similarity Calculation ◽  
Relationship Of ◽  
Over Time

Abstract Research on topic evolution of Microblog is an effective way to analyze network public opinions. This paper proposes a method for mining changing of Microblog topics with time, and realizes topic evolution through topic extraction and topic relevance calculation. Firstly, latent Dirichlet allocation (LDA) model is used to automatically extract topics from different time slices; secondly, a similarity calculation algorithm is designed to calculate relevance of topic content through normalization of similarities among characteristic words and co-occurrence relations, to get evolutionary relationship among sub-topics of different time slices; thirdly, using probability distribution of blog article-topic to calculate topic intensity in each time slice, and then gets evolutionary relationship of topic intensity over time. Experiments show that the proposed topic evolution analysis model can effectively detect the evolution of topic content and intensity of real blogs.

Phylogeny of actin and tubulin gene homologs in diverse eukaryotic species

2019 ◽  
Vol 79 (01S) ◽  
Author(s):  
Pawan Kumar Jayaswal ◽  
Asheesh Shanker ◽  
Nagendra Kumar Singh
Keyword(s):  
Evolutionary Relationship ◽  
Genomic Data ◽  
Gene Clusters ◽  
Species Trees ◽  
Model Species ◽  
Tubulin Gene ◽  
Tubulin Genes ◽  
Eukaryotic Species ◽  
Relationship Of ◽  
Insight Into

Actin and tubulin are cytoskeleton proteins, which are important components of the celland are conserved across species. Despite their crucial significance in cell motility and cell division the distribution and phylogeny of actin and tubulin genes across taxa is poorly understood. Here we used publicly available genomic data of 49 model species of plants, animals, fungi and Protista for further understanding the distribution of these genes among diverse eukaryotic species using rice as reference. The highest numbers of rice actin and tubulin gene homologs were present in plants followed by animals, fungi and Protista species, whereas ten actin and nine tubulin genes were conserved in all 49 species. Phylogenetic analysis of 19 actin and 18 tubulin genes clustered them into four major groups each. One each of the actin and tubulin gene clusters was conserved across eukaryotic species. Species trees based on the conserved actin and tubulin genes showed evolutionary relationship of 49 different taxa clustered into plants, animals, fungi and Protista. This study provides a phylogenetic insight into the evolution of actin and tubulin genes in diverse eukaryotic species.

scholarly journals Investigation of the Correlation between Postherpetic Itch and Neuropathic Pain over Time

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Rie Ishikawa ◽  
Masako Iseki ◽  
Rie Koga ◽  
Eiichi Inada
Keyword(s):  
Neuropathic Pain ◽  
Herpes Zoster ◽  
Pain Intensity ◽  
Visual Analog Scale ◽  
Analog Scale ◽  
Paindetect Questionnaire ◽  
Relationship Of ◽  
The Relationship ◽  
Over Time

Postherpetic itch (PHI), or herpes zoster itch, is an intractable and poorly understood disease. We targeted 94 herpes zoster patients to investigate their pain and itch intensities at three separate stages of the condition (acute, subacute, and chronic). We used painDETECT questionnaire (PDQ) scores to investigate the correlation between PHI and neuropathic pain. Seventy-six patients were able to complete follow-up surveys. The prevalence of PHI was 47/76 (62%), 28/76 (37%), and 34/76 (45%) at the acute, subacute, and chronic stages, respectively. PHI manifestation times and patterns varied. We investigated the relationship of PHI with neuropathic pain using the visual analog scale (VAS), which is a measure of pain intensity, and the PDQ, which is a questionnaire used to evaluate the elements of neuropathic pain. The VAS and PDQ scores did not differ significantly between PHI-positive and PHI-negative patients. A large neuropathic component was not found for herpes zoster itch, suggesting that neuropathic pain treatments may not able to adequately control the itch. Accordingly, we suggest that a more PHI-focused therapy is required to address this condition.

scholarly journals Technology Hotspot Tracking: Topic Discovery and Evolution of China’s Blockchain Patents Based on a Dynamic LDA Model

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 415
Author(s):  
Jinli Wang ◽  
Yong Fan ◽  
Hui Zhang ◽  
Libo Feng
Keyword(s):  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Graph Model ◽  
Representation Learning ◽  
Research Direction ◽  
Calculation Model ◽  
Topic Evolution ◽  
Blockchain Technology ◽  
The Status ◽  
Research Hotspots

Tracking scientific and technological (S&T) research hotspots can help scholars to grasp the status of current research and develop regular patterns in the field over time. It contributes to the generation of new ideas and plays an important role in promoting the writing of scientific research projects and scientific papers. Patents are important S&T resources, which can reflect the development status of the field. In this paper, we use topic modeling, topic intensity, and evolutionary computing models to discover research hotspots and development trends in the field of blockchain patents. First, we propose a time-based dynamic latent Dirichlet allocation (TDLDA) modeling method based on a probabilistic graph model and knowledge representation learning for patent text mining. Second, we present a computational model, topic intensity (TI), that expresses the topic strength and evolution. Finally, the point-wise mutual information (PMI) value is used to evaluate topic quality. We obtain 20 hot topics through TDLDA experiments and rank them according to the strength calculation model. The topic evolution model is used to analyze the topic evolution trend from the perspectives of rising, falling, and stable. From the experiments we found that 8 topics showed an upward trend, 6 topics showed a downward trend, and 6 topics became stable or fluctuated. Compared with the baseline method, TDLDA can have the best effect when K is 40 or less. TDLDA is an effective topic model that can extract hot topics and evolution trends of blockchain patent texts, which helps researchers to more accurately grasp the research direction and improves the quality of project application and paper writing in the blockchain technology domain.

Narrating The City: spaces Of Urban Change, South London

2008 ◽  
Vol 33 (2) ◽  
pp. 10-17
Author(s):  
Suzanne M. Hall
Keyword(s):  
Inner City ◽  
The Other ◽  
Urban Change ◽  
Spatial Transformation ◽  
Class Culture ◽  
Relationship Of ◽  
The City ◽  
North And South ◽  
Official Data ◽  
Over Time

This paper explores the documentation of social and spatial transformation in the Walworth area, South London. Spatial narratives are the entry point for my exploration, where official and ‘unofficial’ representations of history are aligned to capture the nature of urban change. Looking at the city from street level provides a worldly view of social encounter and spaces that are expressive of how citizens experience and shape the city. A more distanced view of the city accessed from official data reveals different constructs. In overlaying near and far views and data and experience, correlations and contestations emerge. As a method of research, the narrative is the potential palimpsest, incorporating fragments of the immediate and historic without representing a comprehensive whole. In this paper Walworth is documented as a local and Inner City context where remnants and insertions are juxtaposed, where white working class culture and diverse ethnicities experience difference and change. A primary aim is to consider the diverse experiences of groups and individuals over time, through their relationship with their street, neighbourhood and city. In relating the Walworth area to London I use three spatial narratives to articulate the contemporary and historic relationship of people to place: the other side examines the physical discrimination between north and south London, the other half looks at distinctions of class and race and other histories explores the histories displaced from official accounts.

The (co)evolution of human rights advocacy: Understanding human rights issue emergence over time

2018 ◽  
Vol 54 (3) ◽  
pp. 313-334 ◽  
Author(s):  
Baekkwan Park ◽  
Amanda Murdie ◽  
David R Davis
Keyword(s):  
Human Rights ◽  
Causal Process ◽  
Change Over Time ◽  
Advocacy Network ◽  
Human Rights Advocacy ◽  
Human Rights Norms ◽  
Rights Issue ◽  
Relationship Of ◽  
Rights Issues ◽  
Over Time

How does the discussion of human rights issues change over time? Without advocates adopting a human rights issue in the first place, international ‘shaming’ cannot occur. In this article, we examine how human rights discussions converge and diverge around new frames and new issues over time. Human rights norms do not evolve alone; their prevalence, framing, and focus are all dependent on how they relate to other norms in the advocacy community. Drawing on over 30,000 documents from dozens of human rights organizations from 1990 to 2011, we provide a temporal overview and visualization of the ebb and flow of human rights issues. Using our new dataset and state-of-the-art methods from computer science, our approach allows us to quantitatively examine (a) how new issues emerge in the advocacy network, (b) the relationship of these new issues to extant human rights advocacy and information, and (c) how the framing and specificity of these issues change over time. By focusing on the process by which a new issue gets incorporated into the work of advocates, we provide an empirical assessment of the first step in the causal process connecting shaming to improvement in human rights practices.

scholarly journals On Adjectival Attributives Blood, Direct, Peaceful as Components of Archaic Nominations of Friends

2021 ◽  
pp. 58-68
Author(s):  
Tatyana Leontyeva
Keyword(s):  
Social Class ◽  
Native Speakers ◽  
Russian Language ◽  
Cultural Layer ◽  
Spiritual Intimacy ◽  
Class Identification ◽  
Relationship Of ◽  
The Russian Language ◽  
Over Time ◽  
National Corpus

The article discusses the changes in collocability of the word friend over time. It notes that the works by A.S. Pushkin contain the forms, unexpected for the perception of the native speakers of the modern Russian language: blood friends, direct friend, peaceful friends. The analysis of the specified attributive combinations is carried out applying definitional, contextual, linguocultural analysis methods. The text material from the National Corpus of the Russian language is used. It is proved that the expression "blood friends" could denote "people connected by strong friendship" and "people of the same class". Physical kinship criterion has been proved to serve as a basis for cognitive understanding of spiritual intimacy and social class identification. However, the connection between primary and secondary semantics is not so direct here; it is mediated by the cultural layer – the custom of twinning, a form of artificial relationship noted among many peoples. Most examples of the usage of the phrase "direct friend" mean 'express your opinion to someone honestly, directly'. The expression "peaceful friends" is interpreted as based on a doubling of the meaning 'in a relationship of agreement'. The research results can be used in compiling dictionaries of the Russian language, and also in teaching linguistic disciplines.

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