human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "goodnewseveryone a corpus of news headlines annotated with emotions semantic roles and reader perception"):
  Abstract: Most research on emotion analysis from text focuses on the task of emotion classification or emotion intensity regression. Fewer works address emotions as structured phenomena, which can be explained by the lack of relevant datasets and methods. We fill this gap by releasing a dataset of 5000 English news headlines annotated via crowdsourcing with their dominant emotions, emotion experiencers and textual cues, emotion causes and targets, as well as the reader's perception and emotion of the headline. We propose a multiphase annotation procedure which leads to high quality annotations on such a task via crowdsourcing. Finally, we develop a baseline for the task of automatic prediction of structures and discuss results. The corpus we release enables further research on emotion classification, emotion intensity prediction, emotion cause detection, and supports further qualitative studies.

Includes members:
  Member "po emo conceptualization annotation and modeling of aesthetic emotions in german and english poetry":
    also connected through other hyperedges:
      (none)
  Member "emotion cause pair extraction a new task to emotion analysis in texts":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ecsp a new task for emotion cause span pair extraction and classification")
  Member "utilizing bert for aspect based sentiment analysis via constructing auxiliary sentence":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "description based text classification with reinforcement learning")
  Member "rthn a rnn transformer hierarchical network for emotion cause extraction":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ecsp a new task for emotion cause span pair extraction and classification")
  Member "from independent prediction to re ordered prediction integrating relative position and global label information to emotion cause identification":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "rthn a rnn transformer hierarchical network for emotion cause extraction")
  Member "frowning frodo wincing leia and a seriously great friendship learning to classify emotional relationships of fictional characters":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an analysis of emotion communication channels in fan fiction towards emotional storytelling")
  Member "crowdsourcing and validating event focused emotion corpora for german and english":
    also connected through other hyperedges:
      (none)
  Member "modeling word emotion in historical language quantity beats supposed stability in seed word selection":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the source paper 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)