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 "exploring emoji usage and prediction through a temporal variation lens"):
  Abstract: Comunicacio presentada a l'International Workshop on Emoji Understanding and Applications in Social Media (Emoji) celebrat el 25 de juny de 2018) a Stanford, Estats Units.

Includes members:
  Member "the new modality emoji challenges in prediction anticipation and retrieval":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "smile be happy emoji embedding for visual sentiment analysis")
  Member "multimodal emoji prediction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning to respond with stickers a framework of unifying multi modality in multi turn dialog")
  Member "spice up your chat the intentions and sentiment effects of using emoji":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sentimoji an emoji powered learning approach for sentiment analysis in software engineering")
  Member "a semantics based measure of emoji similarity":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multimodal emotion classification")
  Member "are emojis predictable":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "learning to respond with stickers a framework of unifying multi modality in multi turn dialog")
  Member "emojinet an open service and api for emoji sense discovery":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "predictive analysis on twitter techniques and applications")
  Member "emoji2vec learning emoji representations from their description":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "related tasks can share a multi task framework for affective language")
  Member "distributed representations of words and phrases and their compositionality":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "multi simlex a large scale evaluation of multilingual and cross lingual lexical semantic similarity")

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)