The dataset viewer is not available for this split.
Error code: FeaturesError Exception: UnicodeDecodeError Message: 'utf-8' codec can't decode byte 0xed in position 46: invalid continuation byte Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute compute_first_rows_from_parquet_response( File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response rows_index = indexer.get_rows_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 640, in get_rows_index return RowsIndex( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__ self.parquet_index = self._init_parquet_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index response = get_previous_step_or_raise( File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise raise CachedArtifactError( libcommon.simple_cache.CachedArtifactError: The previous step failed. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head return _examples_to_batch(list(self.take(n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__ yield from islice(self.ex_iterable, self.n) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__ for key, pa_table in self.generate_tables_fn(**self.kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 193, in _generate_tables csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper return function(*args, download_config=download_config, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1491, in xpandas_read_csv return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv return _read(filepath_or_buffer, kwds) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 620, in _read parser = TextFileReader(filepath_or_buffer, **kwds) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__ self._engine = self._make_engine(f, self.engine) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine return mapping[engine](f, **self.options) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__ self._reader = parsers.TextReader(src, **kwds) File "parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__ File "parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status File "parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error UnicodeDecodeError: 'utf-8' codec can't decode byte 0xed in position 46: invalid continuation byte
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eSOL - Lexicón de palabras indicadoras de opinión en español dependientes del dominio
Descripción
eSOL es una lista de palabras indicadoras de opinión en español dependientes del dominio. El dominio del conjunto de palabras es el de críticas de cine.
Para la elaboración de la lista se ha seguido un enfoque basado en corpus. En este caso se ha seleccionado el corpus de críticas de cine en español Spanish Movie Reviews. La lista está formada por 2.535 palabras positivas y 5.639 palabras negativas. Para más información sobre como se ha elaborado la lista puede consultar el artículo: Semantic Orientation for Polarity Classification in Spanish Reviews.
Cómo citar
Molina-González M.D., Martínez-Cámara, E., Martín-Valdivia, M. T. & Perea-Ortega, J. M. (2012). Semantic orientation for polarity classification in Spanish reviews. Expert Systems with Applications. http://dx.doi.org/10.1016/j.eswa.2013.06.076
@article{MOLINAGONZALEZ20137250,
title = {Semantic orientation for polarity classification in Spanish reviews},
author = {M. Dolores Molina-González and Eugenio Martínez-Cámara and María-Teresa Martín-Valdivia and José M. Perea-Ortega},
journal = {Expert Systems with Applications},
volume = {40},
number = {18},
pages = {7250-7257},
year = {2013},
issn = {0957-4174},
doi = {https://doi.org/10.1016/j.eswa.2013.06.076},
url = {https://www.sciencedirect.com/science/article/pii/S0957417413004752},
keywords = {Sentiment polarity detection, Multilingual opinion mining, Spanish resources for sentiment analysis},
}
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