Im currently doing research in the field of topic modeling respective LDA from Blei et al. Im using the gensim package in python and want to use a TDM (Term Document Matrix) as input data.
Dear Nils,
Import pandas package and for excel file create data frame as
df = pd.read_excel('Filename.xlsx', sheetname='Sheet1')
or for CSV file you can use
df = pd.read_csv('Filename.CSV', sep=',')
More example links:
https://pythonspot.com/read-excel-with-pandas/
Hope this will help you.
https://www.udemy.com/data-analysis-in-python-with-pandas/?siteID=ENhIHOsZQ7Y-I8jaq3QQ6ixi9P8Oeonh2A&LSNPUBID=ENhIHOsZQ7Y
Hi Nils,
You cab use csv or openpyxl libraries.
One of them should do the job
data = pd.read_csv('yourFileName.csv', error_bad_lines=False);
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