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 "smhd a large scale resource for exploring online language usage for multiple mental health conditions"):
  Abstract: Mental health is a significant and growing public health concern. As language usage can be leveraged to obtain crucial insights into mental health conditions, there is a need for large-scale, labeled, mental health-related datasets of users who have been diagnosed with one or more of such conditions. In this paper, we investigate the creation of high-precision patterns to identify self-reported diagnoses of nine different mental health conditions, and obtain high-quality labeled data without the need for manual labelling. We introduce the SMHD (Self-reported Mental Health Diagnoses) dataset and make it available. SMHD is a novel large dataset of social media posts from users with one or multiple mental health conditions along with matched control users. We examine distinctions in users' language, as measured by linguistic and psychological variables. We further explore text classification methods to identify individuals with mental conditions through their language.

Includes members:
  Member "rsdd time temporal annotation of self reported mental health diagnoses":
    also connected through other hyperedges:
      (none)
  Member "a short review of ethical challenges in clinical natural language processing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adapting deep learning methods for mental health prediction on social media")
  Member "detecting and explaining crisis":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "adapting deep learning methods for mental health prediction on social media")
  Member "triaging content severity in online mental health forums":
    also connected through other hyperedges:
      (none)
  Member "inferring individual attributes from search engine queries and auxiliary information":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "privacy altruism and experience estimating the perceived value of internet data for medical uses")
  Member "feature studies to inform the classification of depressive symptoms from twitter data for population health":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "anxious depression prediction in real time social data")
  Member "depression and self harm risk assessment in online forums":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "finding your voice the linguistic development of mental health counselors")
  Member "large scale analysis of counseling conversations an application of natural language processing to mental health":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "trouble on the horizon forecasting the derailment of online conversations as they develop")

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)