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 "modeling financial analysts decision making via the pragmatics and semantics of earnings calls"):
  Abstract: Every fiscal quarter, companies hold earnings calls in which company executives respond to questions from analysts. After these calls, analysts often change their price target recommendations, which are used in equity research reports to help investors make decisions. In this paper, we examine analysts' decision making behavior as it pertains to the language content of earnings calls. We identify a set of 20 pragmatic features of analysts' questions which we correlate with analysts' pre-call investor recommendations. We also analyze the degree to which semantic and pragmatic features from an earnings call complement market data in predicting analysts' post-call changes in price targets. Our results show that earnings calls are moderately predictive of analysts' decisions even though these decisions are influenced by a number of other factors including private communication with company executives and market conditions. A breakdown of model errors indicates disparate performance on calls from different market sectors.

Includes members:
  Member "attentive interaction model modeling changes in view in argumentation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "what changed your mind the roles of dynamic topics and discourse in argumentation process")
  Member "asking too much the rhetorical role of questions in political discourse":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a review on dyadic conversation visualizations purposes data lens of analysis")
  Member "argument strength is in the eye of the beholder audience effects in persuasion":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "what changed your mind the roles of dynamic topics and discourse in argumentation process")
  Member "relnet end to end modeling of entities relations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "procedural reasoning networks for understanding multimodal procedures")
  Member "volatility prediction using financial disclosures sentiments with word embedding based ir models":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep learning for sentiment analysis a survey")
  Member "winning arguments interaction dynamics and persuasion strategies in good faith online discussions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "ten social dimensions of conversations and relationships")
  Member "leverage financial news to predict stock price movements using word embeddings and deep neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "unsupervised extraction of market moving events with neural attention")
  Member "adam a method for stochastic optimization":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "using a thousand optimization tasks to learn hyperparameter search strategies")

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)