用于基于方面的情感分析的乌尔都语语言数据集

Question

当我运行我的代码时，我收到此错误此错误是因为什么>

text_raw_indices = tokenizer.text_to_sequence(text_left + " " + aspect + " " + text_right)
            text_raw_without_aspect_indices = tokenizer.text_to_sequence(text_left + " " + text_right)
            text_left_indices = tokenizer.text_to_sequence(text_left)
            text_left_with_aspect_indices = tokenizer.text_to_sequence(text_left + " " + aspect)
            text_right_indices = tokenizer.text_to_sequence(text_right, reverse=True)
            text_right_with_aspect_indices = tokenizer.text_to_sequence(" " + aspect + " " + text_right, reverse=True)
            aspect_indices = tokenizer.text_to_sequence(aspect)
            left_context_len = np.sum(text_left_indices != 0)
            aspect_len = np.sum(aspect_indices != 0)
            aspect_in_text = torch.tensor([left_context_len.item(), (left_context_len + aspect_len - 1).item()])
            polarity = int(polarity) + 1

Answer 1

只需使用激光，你会没事的。 它也涵盖了乌尔都语。

你可以在这里阅读更多：

• https://engineering.fb.com/ai-research/laser-multilingual-sentence-embeddings/
• https://github.com/facebookresearch/LASER

这里还有非官方的pypi package。 它替代了一些内部依赖项，但仍按预期工作。

还有最重要的问题，所以我们可以更好地帮助您：您想要实现什么，您的最终目标是什么？