Question

when i run my code i get this error this error because of what>

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LASER，您就可以了。它也涵盖了乌尔都语。

您可以在这里阅读更多内容：

还有一个非官方的pypi软件包here。它替代了一些内部依赖性，但仍然可以按预期工作。

也是最重要的问题，因此我们可能会更好地为您提供帮助：您要实现什么目标，您的最终目标是什么？

乌尔都语语言数据集，用于基于方面的情感分析

1 个答案: