1 python csv sentiment-analysis
import csv
if __name__ == "__main__":
words = ["great" , "thanks"]
with open("data/sentiwordnet.tsv", "r") as f:
reader = csv.DictReader(f,delimiter='\t')
for word in xrange(len(words)):
for row in reader:
if row['word_en'] == words[word]:
print float(row["positive"])
print float(row["negative"])
print row["synset"]
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结果:
0.75
0.0
124567
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以上结果仅适用于第一个单词,即"伟大".循环在这里结束 - 它不会继续下一个单词.
一旦遍历行reader,它就不会神奇地重新启动.交换for循环,以便只迭代一次reader:
for row in reader:
for word in xrange(len(words)):
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我只是通过检查每个单词是否在你感兴趣的一组单词中来避免迭代两次.它会运行得更快:
import csv
if __name__ == "__main__":
words = {"great" , "thanks"} # sets are faster than lists for checking containment
with open("data/sentiwordnet.tsv", "r") as f:
reader = csv.DictReader(f, delimiter='\t')
for row in reader:
if row['word_en'] in words:
print float(row["positive"])
print float(row["negative"])
print row["synset"]
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您可能还想考虑使用像pandas这样的包来处理表,它通常会让您的生活更轻松.
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