Issues accessing lexicon .json file

[minoritynarratives]

Thanks so much for this project! I've encountered an issue on Jupyter Notebooks when trying to access the lexicon nrc_en.json. Here's the output of a sample that I tried to run:

from nrclex import NRCLex

text = "hateful" emotion = NRCLex(text) print("hateful", emotion.top_emotions)

FileNotFoundError Traceback (most recent call last) Cell In[18], line 2 1 text = "hateful" ----> 2 emotion = NRCLex(text) 3 print("hateful", emotion.top_emotions)

File ~\Downloads\NRCLex-master\NRCLex-master\nrclex.py:60, in NRCLex.init(self, lexicon_file) 59 def init(self, lexicon_file='nrc_en.json'): ---> 60 with open(lexicon_file, 'r') as json_file: 61 self.lexicon = load(json_file)

FileNotFoundError: [Errno 2] No such file or directory: 'hateful'

I'm not quite sure what's causing the error, would you have any suggestions? I tried loading the nrc_en.json file to check what could be causing the issue, and I got the following:

ValueError Traceback (most recent call last) Cell In[4], line 1 ----> 1 df = pd.read_json('nrc_en.json')

File ~\Anaconda3\lib\site-packages\pandas\util_decorators.py:207, in deprecate_kwarg.._deprecate_kwarg..wrapper(*args, *kwargs) 205 else: 206 kwargs[new_arg_name] = new_arg_value --> 207 return func(args, **kwargs)

File ~\Anaconda3\lib\site-packages\pandas\util_decorators.py:311, in deprecate_nonkeyword_arguments..decorate..wrapper(*args, *kwargs) 305 if len(args) > num_allow_args: 306 warnings.warn( 307 msg.format(arguments=arguments), 308 FutureWarning, 309 stacklevel=stacklevel, 310 ) --> 311 return func(args, **kwargs)

File ~\Anaconda3\lib\site-packages\pandas\io\json_json.py:612, in read_json(path_or_buf, orient, typ, dtype, convert_axes, convert_dates, keep_default_dates, numpy, precise_float, date_unit, encoding, encoding_errors, lines, chunksize, compression, nrows, storage_options) 609 return json_reader 611 with json_reader: --> 612 return json_reader.read()

File ~\Anaconda3\lib\site-packages\pandas\io\json_json.py:746, in JsonReader.read(self) 744 obj = self._get_object_parser(self._combine_lines(data_lines)) 745 else: --> 746 obj = self._get_object_parser(self.data) 747 self.close() 748 return obj

File ~\Anaconda3\lib\site-packages\pandas\io\json_json.py:768, in JsonReader._get_object_parser(self, json) 766 obj = None 767 if typ == "frame": --> 768 obj = FrameParser(json, **kwargs).parse() 770 if typ == "series" or obj is None: 771 if not isinstance(dtype, bool):

File ~\Anaconda3\lib\site-packages\pandas\io\json_json.py:880, in Parser.parse(self) 878 self._parse_numpy() 879 else: --> 880 self._parse_no_numpy() 882 if self.obj is None: 883 return None

File ~\Anaconda3\lib\site-packages\pandas\io\json_json.py:1132, in FrameParser._parse_no_numpy(self) 1129 orient = self.orient 1131 if orient == "columns": -> 1132 self.obj = DataFrame( 1133 loads(json, precise_float=self.precise_float), dtype=None 1134 ) 1135 elif orient == "split": 1136 decoded = { 1137 str(k): v 1138 for k, v in loads(json, precise_float=self.precise_float).items() 1139 }

File ~\Anaconda3\lib\site-packages\pandas\core\frame.py:636, in DataFrame.init(self, data, index, columns, dtype, copy) 630 mgr = self._init_mgr( 631 data, axes={"index": index, "columns": columns}, dtype=dtype, copy=copy 632 ) 634 elif isinstance(data, dict): 635 # GH#38939 de facto copy defaults to False only in non-dict cases --> 636 mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager) 637 elif isinstance(data, ma.MaskedArray): 638 import numpy.ma.mrecords as mrecords

File ~\Anaconda3\lib\site-packages\pandas\core\internals\construction.py:502, in dict_to_mgr(data, index, columns, dtype, typ, copy) 494 arrays = [ 495 x 496 if not hasattr(x, "dtype") or not isinstance(x.dtype, ExtensionDtype) 497 else x.copy() 498 for x in arrays 499 ] 500 # TODO: can we get rid of the dt64tz special case above? --> 502 return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)

File ~\Anaconda3\lib\site-packages\pandas\core\internals\construction.py:120, in arrays_to_mgr(arrays, columns, index, dtype, verify_integrity, typ, consolidate) 117 if verify_integrity: 118 # figure out the index, if necessary 119 if index is None: --> 120 index = _extract_index(arrays) 121 else: 122 index = ensure_index(index)

File ~\Anaconda3\lib\site-packages\pandas\core\internals\construction.py:674, in _extract_index(data) 672 lengths = list(set(raw_lengths)) 673 if len(lengths) > 1: --> 674 raise ValueError("All arrays must be of the same length") 676 if have_dicts: 677 raise ValueError( 678 "Mixing dicts with non-Series may lead to ambiguous ordering." 679 )

ValueError: All arrays must be of the same length

Any help you could provide would be useful. Thank you!

Best, Frankie

[metalcorebear]

Thanks for sending this. I'll take a look as soon as I can.

MB

[honestus]

You should instantiate the NRCLex object by calling the .txt file containing the nrc lexicon, then you should use it with its method "load_raw_text". For example:

nrc_instance = NRCLex('source_to_lexicon_file/lexicon_file.txt')
text = "hateful"
emotion = nrc_instance.load_raw_text(text)

[minoritynarratives]

Thanks very much!