pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils
Module Contents
Classes
Functions
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Attributes
- pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.label = ['N', 'B-A', 'I-A', 'A', 'B-O', 'I-O', 'O', 'Negative', 'Neutral', 'Positive'][source]
- pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.get_spans(tags)[source]
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- pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.get_evaluate_spans(tags, length, token_range)[source]
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- class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.Instance(tokenizer, sentence_pack, post_vocab, deprel_vocab, postag_vocab, synpost_vocab, config)[source]
Bases:
object
- pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.load_data_instances(sentence_packs, post_vocab, deprel_vocab, postag_vocab, synpost_vocab, config)[source]
- pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.load_tokens(filename)[source]
- class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.Metric(config, predictions, goldens, bert_lengths, sen_lengths, tokens_ranges)[source]
- pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.get_aspects(tags, length, token_range, config=None)[source]
- pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.get_opinions(tags, length, token_range, config=None)[source]
- class pyabsa.tasks.AspectSentimentTripletExtraction.dataset_utils.aste_utils.DataIterator(instances, config)[source]
Bases:
object