Question

我正在使用朴素的托架和SVM进行情感分析，我引用了这段代码https://github.com/sravyaysk/MyProjects/blob/master/SentimentAnalysis.py

我在python 3中转换了此实现，下面是实现它的代码，它将正值指定为1，将负值指定为2，我将中性值添加为3，但仍然返回无关的错误

我的代码和数据集 https://drive.google.com/drive/folders/1NiZC7DNOkzpUFZ1X6PjD2rrn99TGXnkL?usp=sharing

这是我遇到错误的代码部分：SVM.py

labels_to_array={"positive":1,"negative":2}
labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
y=np.array(labels)

错误：

KeyError                                  Traceback (most recent call last)
    <ipython-input-11-d1d8945f9453> in <module>
        161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
        162 labels_to_array={"neutral":1,"negative":2,"positive":3}
    --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
        164 y=np.array(labels)
        165 

    <ipython-input-11-d1d8945f9453> in <listcomp>(.0)
        161 # Lets map positive to 1 and negative to 2 so that everything is nicely represented as arrays
        162 labels_to_array={"neutral":1,"negative":2,"positive":3}
    --> 163 labels=[labels_to_array[tweet[1]] for tweet in ppTrainingData]
        164 y=np.array(labels)
        165
 KeyError: 'neutral'

KeyError：“不相关”在字典中，使用Naive和SVM进行情感分析时

0 个答案: