class_docstr: @article{徐琳宏2008情感词汇本体的构造,
  title={情感词汇本体的构造},
  author={徐琳宏 and 林鸿飞 and 潘宇 and 任惠 and 陈建美},
  journal={情报学报},
  volume={27},
  number={2},
  pages={180--185},
  year={2008}
  }
class_docstr_tok: ["@","article","{","\u5f90\u7433\u5b8f2008\u60c5\u611f\u8bcd\u6c47\u672c\u4f53\u7684\u6784\u9020",",","title=","{","\u60c5\u611f\u8bcd\u6c47\u672c\u4f53\u7684\u6784\u9020","}",",","author=","{","\u5f90\u7433\u5b8f","and","\u6797\u9e3f\u98de","and","\u6f58\u5b87","and","\u4efb\u60e0","and","\u9648\u5efa\u7f8e","}",",","journal=","{","\u60c5\u62a5\u5b66\u62a5","}",",","volume=","{","27","}",",","number=","{","2","}",",","pages=","{","180","--","185","}",",","year=","{","2008","}","}"]
code: def __init__(self):
      super().__init__(
          labels_origin=[
              "0",
              "1",
              "2",
          ],
          labels_mapped=[
              "不含情感",
              "褒义",
              "贬义",
          ],
      )
  
imports: from .processor import *
label_desc: Use image node_id 1 to create a new ECISA object from inherited base classes: CLSProcessor with example: obj = ECISA()