human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "the semantic mapping of words and co words in contexts"
  Abstract: Meaning can be generated when information is related at a systemic level. Such a system can be an observer, but also a discourse, for example, operationalized as a set of documents. The measurement of semantics as similarity in patterns (correlations) and latent variables (factor analysis) has been enhanced by computer techniques and the use of statistics; for example, in "Latent Semantic Analysis". This communication provides an introduction, an example, pointers to relevant software, and summarizes the choices that can be made by the analyst. Visualization ("semantic mapping") is thus made more accessible.

Connected through hyperedge HE-1 (induced by source paper "contextualization of topics browsing through the universe of bibliographic information"):
  with members:
    - "citation based clustering of publications using citnetexplorer and vosviewer"
    - "mutual information based labelling and comparing clusters"
    - "clustering articles based on semantic similarity"
    - "ariadne s thread interactive navigation in a world of networked information"
    - "contextualization of topics browsing through terms authors journals and cluster allocations"
    - "scientometrics and information retrieval weak links revitalized"

Connected through hyperedge HE-2 (induced by source paper "automated analysis of topic actor networks on twitter new approach to the analysis of socio semantic networks"):
  with members:
    - "text mining and visualization using vosviewer"

Connected through hyperedge HE-3 (induced by source paper "co word maps and topic modeling a comparison using small and medium sized corpora n 1000"):
  with members:
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "text mining and visualization using vosviewer"
    - "measuring the meaning of words in contexts an automated analysis of controversies about monarch butterflies frankenfoods and stem cells"

Connected through hyperedge HE-4 (induced by source paper "visualization and analysis of frames in collections of messages content analysis and the measurement of meaning"):
  with members:
    - "what can heterogeneity add to the scientometric map steps towards algorithmic historiography"
    - "a comparison of two techniques for bibliometric mapping multidimensional scaling and vos"
    - "the communication of meaning and the structuration of expectations giddens structuration theory and luhmann s self organization"
    - "co occurrence matrices and their applications in information science extending aca to the web environment"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CL(Computation and Language)