用于基于方面的情感分析的乌尔都语语言数据集

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

只要使用激光就可以了。它也包括乌尔都语。

您可以在此处阅读更多内容：

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

最重要的问题是，我们可能会更好地帮助您：您想要实现的目标是什么，您的最终目标是什么？

用于基于方面的情感分析的乌尔都语语言数据集

Urdu language dataset for aspect-based sentiment analysis

python

dataset

sentiment-analysis

aspect

urdu