Make sure to have Jupyter Notebook installed, sit back and shift enter ;)
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View Code? Open in Web Editor NEWSample of Python codes from mathematical problems
Sample of Python codes from mathematical problems
Hey, I really liked your tutorial but was constantly getting this attribute error when running the line
"result = pd.DataFrame([[td.text for td in row.findAll('td')] for row in table.tbody.findAll('tr')])"
Can you please , help me resolve this error.
Thanks.
Wondering where def clean_edge(edge) function takes place in your model.
Applying my own dataset with some errors...
Thanks
Since nltk needs some data to be downloaded before being used, the notebook LDA-BBC
will stop, requiring the user to download the needed data.
This can be done with:
from nltk import download
download('punkt')
download('averaged_perceptron_tagger')
download('wordnet')
download('stopwords')
It may be good to include these lines before running the notebook.
When executing:
from nltk.corpus import stopwords
stopwords_verbs = ['say', 'get', 'go', 'know', 'may', 'need', 'like', 'make', 'see', 'want', 'come', 'take', 'use', 'would', 'can']
stopwords_other = ['one', 'mr', 'bbc', 'image', 'getty', 'de', 'en', 'caption', 'also', 'copyright', 'something']
my_stopwords = stopwords.words('English') + stopwords_verbs + stopwords_other
An error occurs:
OSError: No such file or directory: '/home/jovyan/nltk_data/corpora/stopwords/English'
Using, instead, stopwords.words("english")
works fine.
The lines can be found in the notebook "LDA-BBC".
Running notebook from Jupyter on Docker.
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