human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "asda analyseur syntaxique du dialecte alg e rien dans un but d analyse s e mantique"
  Abstract: Opinion mining and sentiment analysis in social media is a research issue having a great interest in the scientific community. However, before begin this analysis, we are faced with a set of problems. In particular, the problem of the richness of languages and dialects within these media. To address this problem, we propose in this paper an approach of construction and implementation of Syntactic analyzer named ASDA. This tool represents a parser for the Algerian dialect that label the terms of a given corpus. Thus, we construct a labeling table containing for each term its stem, different prefixes and suffixes, allowing us to determine the different grammatical parts a sort of POS tagging. This labeling will serve us later in the semantic processing of the Algerian dialect, like the automatic translation of this dialect or sentiment analysis

Connected through hyperedge HE-1 (induced by source paper "arabic natural language processing an overview"):
  with members:
    - "madari a web interface for joint arabic morphological annotation and spelling correction"
    - "speech recognition challenge in the wild arabic mgb 3"
    - "sequence to sequence neural network models for transliteration"
    - "a large scale corpus of gulf arabic"
    - "bag of tricks for efficient text classification"
    - "character aware neural language models"
    - "automatic dialect detection in arabic broadcast speech"
    - "distributed representations of sentences and documents"

Connected through hyperedge HE-2 (induced by source paper "sentialg automated corpus annotation for algerian sentiment analysis"):
  with members:
    - "arabic language sentiment analysis on health services"
    - "distributed representations of sentences and documents"
    - "crowdsourcing a word emotion association lexicon"

Question: Please tell me which class the center node 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)