Cortext platform

@conference{Poibeau2020,

title = {Application de la résolution référentielle d’entités (entity linking) au domaine des Humanités numériques},

author = {Thierry Poibeau and Pablo Ruiz},

url = {https://prf1.org/docs/ruiz_pres_entlink_dh_scom.pdf},

year  = {2020},

date = {2020-08-12},

organization = {Journée Sciences des données et Humanités numériques},

abstract = {Technologie de résolution référentielle des entités (entity linking)

– Description de la technologie

– Outils publiques

– Implications des choix d’outil pour la

modélisation des données textuelles},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Hu2020,

title = {Structure and evolution patterns of contents of Chinese children's bestsellers},

author = {Jiming Hu and Xiang Zheng},

url = {http://hdl.handle.net/2142/106538},

year  = {2020},

date = {2020-03-23},

publisher = {iSchools},

series = {iConference 2020 Proceedings},

abstract = {Children's books involve a large number of topics. This poster focuses on that in China, which is the fastest growing market for children's book in the world. This poster chose Dangdang.com, the biggest Chinese online bookstore, for data source to obtain children's bestsellers. The topic words of children's bestsellers were extracted from their brief introductions of the content on the website. With the aid of co-occurrence theory and tools of social network analysis and visualization, the distribution, correlation structures, and evolution patterns of topics were revealed and visualized. This poster shows that topics of Chinese children's bestsellers are broad and relatively concentrated, but their distribution is unbalanced. There are four distinguished topic communities (Living, Animal, World, and Child) in terms of centrality and maturity, and they all establish their individual systems and tend to be mature. The evolution of these communities tends to be stable with powerful continuity.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Ding2020,

title = {Research on the Evolution of  Health Information Behavior From a Chinese Perspective},

author = {Nian Ding and Xiao Huang},

url = {http://hdl.handle.net/10125/64146},

doi = {10.24251/HICSS.2020.404},

isbn = {978-0-9981331-3-3},

year  = {2020},

date = {2020-01-07},

urldate = {2020-01-07},

abstract = {China    has    been    undergoing    a    tremendous    development in the reform of health system and it has great effects all the citizens and the nation as a whole. This  paper  aims  to  focus  on  the  individuals  from  the  aspect of information behavior. It is expected that the review   on   health   information   behavior   could   be   conducted   in   a   systematic   way.   Moreover,   some   statistical  methods  and  software  have  been  occupied  in  order  to  find  out  the  entire  progress  of  health  information  behavior.  Specifically,  both  vertical  and  horizontal  comparison  have  been  conducted  in  this  study,  and  scientometric  methods  have  also  be  used.  After a systematic and profound literature review, the whole  progress  has  been  explored  and  the  main  topics  of  great  importance  have  been  discovered.  Moreover,  highly  cited  papers  and  their  relationship  have also been revealed.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}