Lidi Lin

Hi，@shaoshoutianheyu ，感谢关注，词云的模型采用纯粹的word2vec进行模型预测，因此没有对数据进行持久化存储，且词云图在官方的echarts插件中已经被移除，需要通过pyecharts来做单独渲染，一个临时的解决办法，代码如下： import gensim from pyecharts import WordCloud sentences = gensim.models.word2vec.LineSentence('segwords_m.txt') model = gensim.models.Word2Vec(sentences, size=200) model.save("segwords_m.model") model = gensim.models.word2vec.Word2Vec.load("segwords_m.model") word = model.most_similar('股票名称',topn=10) name = [] value = [] for i...