Python: Baca PDF bahasa Inggris untuk jadi text file

Sumber: https://medium.com/@rqaiserr/how-to-convert-pdfs-into-searchable-key-words-with-python-85aab86c544f

Persiapan terutama untuk textract

apt install libpulse-dev
apt install swig
apt install build-essential autoconf libtool pkg-config python-opengl \
python-pyrex python-pyside.qtopengl idle-python2.7 \
qt4-dev-tools qt4-designer libqtgui4 libqtcore4 libqt4-xml libqt4-test \
libqt4-script libqt4-network libqt4-dbus python-qt4 python-qt4-gl libgle3 \
python-dev libssl-dev python-imaging-doc-html python-imaging-doc-pdf

Install pip

pip install greenlet
pip install gevent
pip install PyPDF2
pip install textract
pip install nltk

Code

# Load Library
import PyPDF2 
import textract

from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords

#write a for-loop to open many files
filename = 'enter the name of the file here' 

#open allows you to read the file
pdfFileObj = open(filename,'rb')

#The pdfReader variable is a readable object that will be parsed
pdfReader = PyPDF2.PdfFileReader(pdfFileObj)

#discerning the number of pages will allow us to parse through all #the pages
num_pages = pdfReader.numPages
count = 0
text = ""

#The while loop will read each page
while count < num_pages:
    pageObj = pdfReader.getPage(count)
    count +=1
    text += pageObj.extractText() 

#This if statement exists to check if the above library returned #words. It's done because PyPDF2 cannot read scanned files.
if text != "":
   text = text

#If the above returns as False, we run the OCR library textract to #convert scanned/image based PDF files into text 
else:
   text = textract.process(fileurl, method='tesseract', language='eng')

# Now we have a text variable which contains all the text derived #from our PDF file. Type print(text) to see what it contains. It #likely contains a lot of spaces, possibly junk such as '\n' etc.

# Now, we will clean our text variable, and return it as a list of keywords.

#The word_tokenize() function will break our text phrases into #individual words
tokens = word_tokenize(text)

#we'll create a new list which contains punctuation we wish to clean
punctuations = ['(',')',';',':','[',']',',']

#We initialize the stopwords variable which is a list of words like #"The", "I", "and", etc. that don't hold much value as keywords
stop_words = stopwords.words('english')

#We create a list comprehension which only returns a list of words #that are NOT IN stop_words and NOT IN punctuations.
keywords = [word for word in tokens if not word in stop_words and not word in punctuations]

Referensi

• https://medium.com/@rqaiserr/how-to-convert-pdfs-into-searchable-key-words-with-python-85aab86c544f

Pranala Menarik

• Python