How can I get every Token (word) and PreviousToken(P revious word) From multube files and frequency of each two word
my code is trying to get all single word and double word (every Token (word) and PreviousToken(P revious word)) from multube files and get frequency of both. it can get for single word but double word give error
line 50, in most_frequant_w ord
word1+= ' ' + word_list[ix+1]
IndexError: list index out of range
the code subose to do
For example if the text file content is
"Every man has a price. Every woman has a price."
First Token(word) is "Every" PreviousToken(P revious word) is none(no previos)
Second Token(word) is "man" PreviousToken(P revious word) is "Every"
Third Token(word) is "has" PreviousToken(P revious word) is "man"
Forth Token(word) is "a" PreviousToken(P revious word) is "has"
Fifth Token(word) is "price" PreviousToken(P revious word) is "a"
Sixth Token(word) is "Every" PreviousToken(P revious word) is none(no previos)
Seventh Token(word) is "man" PreviousToken(P revious word) is "Every"
Eighth Token(word) is "has" PreviousToken(P revious word) is "man"
Ninth Token(word) is "a" PreviousToken(P revious word) is "has"
Tenth Token(word) is "price" PreviousToken(P revious word) is "a"
Frequency of "has a" is 2 (repeated two times first and second sentence)
Frequency of " a price" is 2 (repeated two times first and second sentence)
Frequency of "Every man" is 1 (occur one time only)
Frequency of "man has" is 1 (occur one time only)
Frequency of "Every woman" is 1 (occur one time only)
Frequency of "woman has" is 1 (occur one time only)
please I need help
my code is trying to get all single word and double word (every Token (word) and PreviousToken(P revious word)) from multube files and get frequency of both. it can get for single word but double word give error
line 50, in most_frequant_w ord
word1+= ' ' + word_list[ix+1]
IndexError: list index out of range
Code:
import __future__
import Tkinter as tk
import os, glob
import sys
import string
import re
import tkFileDialog
def most_frequant_word():
browser= tkFileDialog.askdirectory()
word_freq={}
word_freq1={}
count11=0
for root, dirs, files in os.walk(browser):
text1.insert(tk.INSERT, 'Found %d dirs and %d files' % (len(dirs), len(files)))
text1.insert(tk.INSERT, "\n")
for idx, file in enumerate(files):
ff = open (os.path.join(root, file), "r")
text = ff.read ( )
ff.close ( )
word_list = text.split()
my_list = text.split()
count11=len(word_list)+count11
text1.insert(tk.INSERT, "total number of tokens %s" % pair_list)
text1.insert(tk.INSERT, "\n")
for ix, word in enumerate(word_list):
word = word.lower()
word = word.rstrip('.,/"\ -_;\[](){} ')
# build the dictionary
word1=word
word1+= ' ' + word_list[ix+1]
count = word_freq.get(word, 0)
word_freq[word] = count + 1
count1 = word_freq1.get(word1,0)
word_freq1[word1] = count1 + 1
# create a list of (freq, word) tuples
freq_list = [(word,freq ) for freq,word in word_freq.items()]
freq_list1 = [(word1,freq1 ) for freq1,word1 in word_freq.items()]
# sort the list by the first element in each tuple (default)
freq_list.sort(reverse=True)
freq_list1.sort(reverse=True)
for n, tup in enumerate(freq_list1):
text1.insert(tk.INSERT, "%s times: %s" % tup)
text1.insert(tk.INSERT, "\n")
root = tk.Tk(className = " most_frequant_word")
# text entry field, width=width chars, height=lines text
v1 = tk.StringVar()
text1 = tk.Text(root, width=50, height=50, bg='green')
text1.pack()
# function listed in command will be executed on button click
button1 = tk.Button(root, text='Brows', command=most_frequant_word)
button1.pack(pady=5)
text1.focus()
root.mainloop()
For example if the text file content is
"Every man has a price. Every woman has a price."
First Token(word) is "Every" PreviousToken(P revious word) is none(no previos)
Second Token(word) is "man" PreviousToken(P revious word) is "Every"
Third Token(word) is "has" PreviousToken(P revious word) is "man"
Forth Token(word) is "a" PreviousToken(P revious word) is "has"
Fifth Token(word) is "price" PreviousToken(P revious word) is "a"
Sixth Token(word) is "Every" PreviousToken(P revious word) is none(no previos)
Seventh Token(word) is "man" PreviousToken(P revious word) is "Every"
Eighth Token(word) is "has" PreviousToken(P revious word) is "man"
Ninth Token(word) is "a" PreviousToken(P revious word) is "has"
Tenth Token(word) is "price" PreviousToken(P revious word) is "a"
Frequency of "has a" is 2 (repeated two times first and second sentence)
Frequency of " a price" is 2 (repeated two times first and second sentence)
Frequency of "Every man" is 1 (occur one time only)
Frequency of "man has" is 1 (occur one time only)
Frequency of "Every woman" is 1 (occur one time only)
Frequency of "woman has" is 1 (occur one time only)
please I need help
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