Lin*_* Xu 5 python nlp stanford-nlp word2vec
似乎格式是,对于每一行,字符串就像“字号……”。所以很容易分裂。但是当我用下面的脚本分割它们时
import numpy as np
def loadGloveModel(gloveFile):
print "Loading Glove Model"
f = open(gloveFile,'r')
model = {}
for line in f:
splitLine = line.split()
word = splitLine[0]
embedding = np.array([float(val) for val in splitLine[1:]])
model[word] = embedding
print "Done.",len(model)," words loaded!"
return model
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我加载手套 840B 300d.txt。但是得到错误,我打印了我得到的 splitLine
['contact', 'name@domain.com', '0.016426', '0.13728', '0.18781', '0.75784', '0.44012', '0.096794' ... ]
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或者
['.', '.', '.', '.', '0.033459', '-0.085658', '0.27155', ...]
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请注意,此脚本在 glove.6b.* 中运行良好
该代码适用于以下文件:glove.6B.*d.txt、glove.42B.*d.txt,但不适用于 glove.6B.300d.txt。这是因为 glove.6B.300d.txt 在单词中包含空格。例如,它有一个这样的词:'。. .' 这些点之间有空格。我通过改变这一行来解决这个问题:
splitLine = line.split()
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进入
splitLine = line.split(' ')
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所以你的代码一定是这样的:
import numpy as np
def loadGloveModel(gloveFile):
print "Loading Glove Model"
f = open(gloveFile,'r', encoding='utf8')
model = {}
for line in f:
splitLine = line.split(' ')
word = splitLine[0]
embedding = np.asarray(splitLine[1:], dtype='float32')
model[word] = embedding
print "Done.",len(model)," words loaded!"
return model
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