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: "detecting state of aggression in sentences using cnn"
  Abstract: In this article we study verbal expression of aggression and its detection using machine learning and neural networks methods. We test our results using our corpora of messages from anonymous imageboards. We also compare Random forest classifier with convolutional neural network for "Movie reviews with one sentence per review" corpus.

Connected through hyperedge HE-1 (induced by source paper "decision support with text based emotion recognition deep learning for affective computing"):
  with members:
    - "putting question answering systems into practice transfer learning for efficient domain customization"
    - "deep learning in business analytics and operations research models applications and managerial implications"
    - "gradascent at emoint 2017 character and word level recurrent neural network models for tweet emotion intensity detection"
    - "predicting process behaviour using deep learning"
    - "fake news detection on social media a data mining perspective"
    - "how transferable are neural networks in nlp applications"
    - "crowdsourcing a word emotion association lexicon"

Connected through hyperedge HE-2 (induced by source paper "deep learning for affective computing text based emotion recognition in decision support"):
  with members:
    - "gradascent at emoint 2017 character and word level recurrent neural network models for tweet emotion intensity detection"
    - "decision support from financial disclosures with deep neural networks and transfer learning"
    - "predicting process behaviour using deep learning"
    - "fake news detection on social media a data mining perspective"
    - "how transferable are neural networks in nlp applications"
    - "crowdsourcing a word emotion association lexicon"

Connected through hyperedge HE-3 (induced by source paper "kek cucks and god emperor trump a measurement study of 4chan s politically incorrect forum and its effects on the web"):
  with members:
    - "automatic verbal aggression detection for russian and american imageboards"
    - "antisocial behavior in online discussion communities"
    - "experimental analysis of popular smartphone apps offering anonymity ephemerality and end to end encryption"
    - "stfu noob predicting crowdsourced decisions on toxic behavior in online games"
    - "clustering memes in social media"

Connected through hyperedge HE-4 (induced by source paper "a longitudinal measurement study of 4chan s politically incorrect forum and its effect on the web"):
  with members:
    - "automatic verbal aggression detection for russian and american imageboards"
    - "antisocial behavior in online discussion communities"
    - "experimental analysis of popular smartphone apps offering anonymity ephemerality and end to end encryption"
    - "stfu noob predicting crowdsourced decisions on toxic behavior in online games"
    - "clustering memes in social media"

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)