parsing long raw data in Python

I have a raw data file containig texts of many books. the data formatted as following (sequencial number,book name, text) 0,book_a, " long content" 1,book_b," long content" 2,book_c," long content" how to parser and load the books to a python dicationary {‘id’: 0, ‘book_name’, ‘text’: "full text"} >Solution : I assumed your Raw data file… Read More parsing long raw data in Python

Iterating over a dictionary of pdf files and their name and create a dictionary and put the name and corresponding text into it

I wrote the code as follws to extract one single pdf file and put the text into a list. how can I modify the code that it iterates over a dictionary of pdf files and their name and create a dictionary and put the name and corresponding text into it? dic = { ‘0R.pdf’:’m1′, ‘2R.pdf’:’m2′,… Read More Iterating over a dictionary of pdf files and their name and create a dictionary and put the name and corresponding text into it

Pythonic way to create dataset for multilabel text classification

I have a text dataset that looks like this. import pandas as pd df = pd.DataFrame({‘Sentence’: [‘Hello World’, ‘The quick brown fox jumps over the lazy dog.’, ‘Just some text to make third sentence!’ ], ‘label’: [‘greetings’, ‘dog,fox’, ‘some_class,someother_class’ ]}) I want to transform this data into something like this. Is there a pythonic way… Read More Pythonic way to create dataset for multilabel text classification