August 2022
Intermediate to advanced
441 pages
11h 26m
Chinese
Content preview from Python文本分析
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286
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第
9
章
虽然我们在这个案例中使用了论坛的话题，但是该解决方案同样适用其他情况。例
如，生成
CNN
以及每日邮件新闻摘要的任务（
https://oreil.ly/T_RNc
）、
DUC
（
https://
oreil.ly/0Hlov
）或
SUMMAC
（
https://oreil.ly/Wg322
）等数据集。在这些数据集中，
你可以找到每篇文章的文本以及突出显示的摘要句子。这些就相当于本案例中呈现
的每个话题的文本以及摘要。
9.6.1
第一步：创建目标标签
第一步是加载数据集，理解它的结构，然后使用数据集提供的摘要创建目标标签。
我们已经在最初的数据准备阶段创建了格式良好的数据框，如下所示。有关更多详
细内容，请参见本书
GitHub
代码库中的
notebook
：
Data_Preparation
。
import pandas as pd
import numpy as np
df = pd.read_csv('travel_threads.csv', sep='|', dtype={'ThreadID': 'object'})
df[df['ThreadID']=='60763_5_3122150'].head(1).T
Figure 9-4. Posts in a thread and the corresponding summary from a travel forum.
Step 1: Creating Target Labels
The first step is to load the dataset, ...
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