生成LDA的python代码

以下是生成LDA的Python代码的一个示例：

# 导入必要的库
import pandas as pd
import numpy as np
import gensim
from gensim import corpora
from gensim.models import LdaModel
from gensim.models.ldamodel import CoherenceModel

# 读入文本数据
text_data = pd.read_csv('text_data.csv', header=None)
texts = [[word for word in str(doc).lower().split() if word not in stopwords] for doc in text_data[0]]

# 构建字典和语料库
dictionary = corpora.Dictionary(texts)
corpus = [dictionary.doc2bow(text) for text in texts]

# 训练LDA模型
lda_model = LdaModel(corpus=corpus, id2word=dictionary, num_topics=10)

# 打印主题列表
topics = lda_model.print_topics(num_topics=10, num_words=10)
for topic in topics:
    print(topic)
    
# 计算话题连贯性
coherence_model_lda = CoherenceModel(model=lda_model, texts=texts, dictionary=dictionary, coherence='c_v')
coherence_lda = coherence_model_lda.get_coherence()
print('\nCoherence Score: ', coherence_lda)

请注意，上述代码仅供示例目的，实际应用中需要根据数据和具体需求进行调整。