Ptoject Deliverable #1a							Due September 18,2024; FIRM deadline September 25, 2024

You must submit your project by uploading a Python runnable file to your accunt on the CSI server 163.238.35.151

Find a 1st text to use for your project.
A good source is www.archive.org  
You may NOT use Gutenberg.

You may use a printed text and take pictures of the pages with your phone.

If the text is an image: *.png, *.jpg, or *.img convert it into a into a *.txt file as demonstrated in class.

As the conversion process is time consuming, don't choose anything very long.  
A good length is 20-30 pages.

Use WINSCP to upload one image file and the entire converted .txt file into your accoount on the CSC733 server:
163.238.35.151/yourlastname
password:yourfirstnameXXXX	where XXXX=last 4 digits oif your CUNY ID

As the server is running an obsolete version of Python, you will need to use your computer to develop and run it.

As a model, we will look at my project Chi.
You are permitted to use any of my code below IF you cite the source.  No citation will cost you 10 points.

Important trick: The will permit you to use all of the methods attached to Gutenberg !
You may add any text to your copy of Gutenberg on your computer by copying it to this folder:

'C:\\Users\\your_windows_login_name\\AppData\\Roaming\\nltk_data\\corpora\\gutenberg\\your_bookname.txt'

My code is below - some adapted from the textbook
the previous line is my citation which gives credit to the textbook.
this deliverablelis very easy.  Just copy ehart I did with your text.
But do not use my 'she..(one word).. him'.  Think of something appropriate to yuor text.

Find something interesting about your book or article using nltk.
Here is my deliverable #1 Python code:

import os, sys
from nltk.corpus import wordnet
import nltk
nltk.download

class HiddenPrints:         # surpress unwanted output of Gutenberg book list
    def __enter__(self):
        self._original_stdout = sys.stdout
        sys.stdout = open(os.devnull, 'w')
    def __exit__(self, exc_type, exc_val, exc_tb):
        sys.stdout.close()
        sys.stdout = self._original_stdout

with HiddenPrints():from nltk.book import *
from nltk.corpus import gutenberg
blood = nltk.Text(gutenberg.words('blood_fixed.txt'))
type(blood)
blood
print("find all occurences of 'she..(one word).. him'")
print(blood.findall(r"<she> (<.*>) <him>"))
print("find all occurences of 'he..(one word).. her'")
print(blood.findall(r"<he> (<.*>) <her>"))	

print("There is clearly some kind of relationship going on between")
print ("two people in this book and he is more interested it than she is")
print ("This analysis is a real success of Natural Language Processing using NLTK")
print("Read the text, Blood of the Walsungs and you will see that it is correct !")