1
我使用TF-IDF查詢Google+數據並將數據保存爲JSON
文件。在處理這個文件時,我得到一個錯誤。python-TypeError:字符串索引必須是整數。怎麼修?
代碼
import json
import nltk
DATA = 'C:/Users/Dung Ring/Desktop/kpdl/107033731246200681024.json'
data = json.loads(open(DATA).read())
QUERY_TERMS = ['SOPA']
activities = [activity['object']['content'].lower().split() \
for activity in data \
if activity['object']['content'] != " "]
# TextCollection provides tf, idf, and tf_idf abstractions so
# that we don't have to maintain/compute them ourselves
tc = nltk.TextCollection(activities)
relevant_activities = []
for idx in range(len(activities)):
score = 0
for term in [t.lower() for t in QUERY_TERMS]:
score += tc.tf_idf(term, activities[idx])
if score > 0:
relevant_activities.append({'score': score, 'title': data[idx]['title'],
'url': data[idx]['url']})
# Sort by score and display results
relevant_activities = sorted(relevant_activities, key=lambda p: p['score'], reverse=True)
for activity in relevant_activities:
print activity['title']
print '\tLink: %s' % (activity['url'],)
print '\tScore: %s' % (activity['score'],)
print
錯誤消息
Traceback (most recent call last):
File "ex9.py", line 11, in <module>
if activity['object']['content']!= ""]
TypeError: string indices must be integers
我使用Python 2.7。
如果你想要比我的答案更具體的東西,你將不得不提供我們和你的json文件的例子。 – LeartS 2014-12-05 09:35:34
我們是否應該猜測你的數據是什麼樣的?唯一明顯的一點是,'activity'或'activity ['object']'是一個字符串。 – 2014-12-05 09:57:51
這是我的json文件。鏈接:https://www.dropbox.com/s/rl72mwmi4rifqjq/107033731246200681024.json?dl = 0 – 2014-12-05 10:04:11