python 3.x - How to create corpus from pandas data frame to operate with NLTK

Question

Here is my problem:

1. I have a csv file containing articles data set with columns: ID, CATEGORY, TITLE, BODY.

2. In python, I read the file to a pandas data frame like this:

   import pandas as pd
   df = pd.read_csv('my_file.csv')
   

3. Now I need to transform somehow this df to get a corpus object, let's call it my_corpus. But how exactly I can do it? I assume I need to use:

   from nltk.corpus.reader import CategorizedCorpusReader
   my_corpus = some_nltk_function(df) # <- what is the function?
   

4. At the end I can use NLTK methods to analyze the corpus. For example:

   import nltk
   my_corpus.fileids() # <- I expect values from column ID
   my_corpus.categories() # <- I expect values from column CATEGORY
   my_corpus.words(categories='cat_A') # <- I expect values from column TITLE and BODY
   my_corpus.sents(categories=['cat_A', 'cat_B', 'cat_C']) # <- I expect values from column TITLE and BODY
   

Please, advise.

Answer 1

I guess you need to do 2 things.

First you need to convert each row of your dataframe df to corpus files. The following function should do it for you

def CreateCorpusFromDataFrame(corpusfolder,df):
    for index, r in df.iterrows():
        id=r['ID']
        title=r['TITLE']
        body=r['BODY']
        category=r['CATEGORY']
        fname=str(category)+'_'+str(id)+'.txt'
        corpusfile=open(corpusfolder+'/'+fname,'a')
        corpusfile.write(str(body) +" " +str(title))
        corpusfile.close()

CreateCorpusFromDataFrame('yourcorpusfolder/',df)

Second, you need to read the files from yourcorpusfolder and then do the NLTK processing required by you

from nltk.corpus.reader import CategorizedPlaintextCorpusReader
my_corpus=CategorizedPlaintextCorpusReader('yourcorpusfolder/',
r'.*', cat_pattern=r'(.*)_.*') 
my_corpus.fileids() # <- I expect values from column ID
my_corpus.categories() # <- I expect values from column CATEGORY
my_corpus.words(categories='cat_A') # <- I expect values from column TITLE and BODY
my_corpus.sents(categories=['cat_A', 'cat_B']) # <- I expect values from column TITLE and BODY

Some helpful references :

• https://groups.google.com/forum/#!topic/nltk-users/YFCKjHbpUkY
• Need to set categorized corpus reader in NLTK and Python, corpus texts in one file, one text per line