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 "a benchmark study on sentiment analysis for software engineering research"):
  Abstract: A recent research trend has emerged to identify developers' emotions, by applying sentiment analysis to the content of communication traces left in collaborative development environments. Trying to overcome the limitations posed by using off-the-shelf sentiment analysis tools, researchers recently started to develop their own tools for the software engineering domain. In this paper, we report a benchmark study to assess the performance and reliability of three sentiment analysis tools specifically customized for software engineering. Furthermore, we offer a reflection on the open challenges, as they emerge from a qualitative analysis of misclassified texts.1

Includes members:
  Member "sentiment polarity detection for software development":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "sentimoji an emoji powered learning approach for sentiment analysis in software engineering")
  Member "how to ask for technical help evidence based guidelines for writing questions on stack overflow":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "contextual documentation referencing on stack overflow")
  Member "bootstrapping a lexicon for emotional arousal in software engineering":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "time pressure in software engineering a systematic review")
  Member "emotxt a toolkit for emotion recognition from text":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a large scale in depth analysis of developers personalities in the apache ecosystem")
  Member "mining valence arousal and dominance possibilities for detecting burnout and productivity":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "recognizing developers emotions while programming")
  Member "recommending insightful comments for source code using crowdsourced knowledge":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a survey of automatic generation of source code comments algorithms and techniques")
  Member "a computational approach to politeness with application to social factors":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "ten social dimensions of conversations and relationships")
  Member "machine learning in automated text categorization":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "utilizing neural networks and linguistic metadata for early detection of depression indications in text sequences")

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.SE(Software Engineering)