print(classification_report(y_test, y_pred,target_names=my_tags)) 可以看到,准确率约为74% 线性支持向量机 Linear Support Vector Machine SVM是受广泛认可的文本分类算法之一 from sklearn.linear_model importSGDClassifiersgd = Pipeline([('vect', CountVectorizer()), ('tfidf', TfidfTransformer()), (...
from sklearn.naive_bayes import MultinomialNB from sklearn.metrics import accuracy_score, classification_report # 下载必要的资源 nltk.download('punkt') nltk.download('stopwords') # 示例数据 data = {'text': ["I love programming.", "Python is great for data science.", "I dislike bugs in th...
PyTextClassifier: Python Text Classifier. It can be applied to the fields of sentiment polarity analysis, text risk classification and so on, and it supports multiple classification algorithms and clustering algorithms.pytextclassifier is a python Open Source Toolkit for text classification. The goal ...
pytextclassifier is a python Open Source Toolkit for text classification. The goal is to implement text analysis algorithm, so to achieve the use in the production environment.文本分类器,提供多种文本分类和聚类算法,支持句子和文档级的文本分类任务,支持二分类、多分类、多标签分类、多层级分类和Kmeans...
importnltkfromnltk.sentimentimportSentimentIntensityAnalyzerfromsklearn.metricsimportaccuracy_score,classification_reportfromsklearn.model_selectionimporttrain_test_splitimportssl nltk: A popular Python library for natural language processing (NLP). SentimentIntensityAnalyzer: A component ofnltkfor sentiment analysi...
textCNN 可以看作是n-grams的表现形式,textCNN介绍可以看这篇,论文Convolutional Neural Networks for Sentence Classification中提出的三种feature size的卷积核可以认为是对应了3-gram,4-gram和5-gram。整体模型结构如下,先用不同尺寸(3, 4, 5)的卷积核去提取特征,在进行最大池化,最后将不同尺寸的卷积核提取的特...
python 3.7 pytorch 1.1 tqdm sklearn tensorboardX 中文数据集 我从THUCNews中抽取了20万条新闻标题,已上传至github,文本长度在20到30之间。一共10个类别,每类2万条。数据以字为单位输入模型。 类别:财经、房产、股票、教育、科技、社会、时政、体育、游戏、娱乐。
fromsklearn.preprocessing import StandardScaler from sklearn.model_selection import train_test_split from sklearn.metrics import classification_report from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Embedding, Conv1D, GlobalMaxPooling1D, LSTM ...
Python环境及安装相应依赖包 python 3.7以上 pytorch 1.1 以上 tqdm sklearn tensorboardX TextRNN 分析: LSTM能更好的捕捉长距离语义关系,但是由于其递归结构,不能并行计算,速度慢。 原理图如下: 终端运行下面命令,进行训练和测试: python run.py --model TextRNN ...
python 3.7 pytorch 1.1 tqdm sklearn tensorboardX 中文数据集 我从THUCNews中抽取了20万条新闻标题,已上传至github,文本长度在20到30之间。一共10个类别,每类2万条。数据以字为单位输入模型。 类别:财经、房产、股票、教育、科技、社会、时政、体育、游戏、娱乐。