python - NLTK SVM Classifier Terminates

Question

I am using the SVM classifier built in NLTK and after training the model, when I try to classify a document, the program terminates with Error during execution, QProcess error: 1 Execution Interrupted

I am using the following code:-

classifier = nltk.classify.svm.SvmClassifier.train(train_features)
for test_record in test_data_list:
    features = extract_features(test_record)
    predict = classifier.classify(features)
    print predict

What could be the reason for the error?

Answer 1

nltk.classify.svm已弃用。用于基于支持向量机的分类 SVM 使用nltk.classify.scikitlearn （或scikit-learn直接）。有关更多详细信息NLTK 3.0 文档

您可以使用nltk.classify.scikitlearn如下

import nltk.classify
from sklearn.svm import LinearSVC

classifier = nltk.classify.SklearnClassifier(LinearSVC())
classifier.train(train_features)

for test_record in test_data_list:
    features = extract_features(test_record)
    predict = classifier.classify(features)
    print predict

Answer 2

nltk 已弃用 svm，您将不得不使用 scikit - 学习使用支持向量分类进行分类

您可以使用 ：

import nltk.classify
from sklearn.svm import LinearSVC

classifier = nltk.classify.SklearnClassifier(LinearSVC())
classifier.train(train_set)
from nltk import classify 

accuracy = classify.accuracy(classifier, test_set)
print (accuracy)