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Job_Recommender.py
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Job_Recommender.py
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from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem import *
from nltk.stem.snowball import SnowballStemmer
import tweepy
import re
import string
import nltk
from unidecode import unidecode
import csv
import pandas as pd
import pickle
from sklearn.feature_extraction.text import TfidfVectorizer
from collections import Counter
# Downloading stopwords and punkt from Natural language toolkit
nltk.download('stopwords')
nltk.download('punkt')
nltk.download('wordnet')
nltk.download('omw-1.4')
# Functions for pre-processing of the data that is remove urls, punctuations, numbers etc.
def replace_sep(text):
text = text.replace("|||", ' ')
return text
def remove_url(text):
text = re.sub(r'https?:*?[\s+]', '', text)
return text
def remove_punct(text):
text = re.sub(r'[^\w\s]', '', text)
return text
def remove_numbers(text):
text = re.sub(r'[0-9]', '', text)
return text
def convert_lower(text):
text = text.lower()
return text
def extra(text):
text = text.replace(" ", " ")
text = re.sub(r'[^a-zA-Z\s]', '', text)
text = text.strip()
return text
# Using nltk stop words to remove common words not required in processing like a, an the etc.
Stopwords = set(stopwords.words("english"))
def stop_words(text):
tweet_tokens = word_tokenize(text)
filtered_words = [w for w in tweet_tokens if not w in Stopwords]
return " ".join(filtered_words)
# Applying lemmatization i.e. grouping together the words to analyze as one.
def lemmantization(text):
tokenized_text = word_tokenize(text)
lemmatizer = WordNetLemmatizer()
text = ' '.join([lemmatizer.lemmatize(a) for a in tokenized_text])
return text
# Doing the pre-processing of data by the functions defined above
def pre_process(text):
text = replace_sep(text)
text = remove_url(text)
text = remove_punct(text)
text = remove_numbers(text)
text = convert_lower(text)
text = extra(text)
text = stop_words(text)
text = lemmantization(text)
return text
# tokenizing the data we retrieve from youtube. Defining the various emojis and emoticons and creating their regex patterns.
emoticons_str = r"""
(?:
[:=;] # Eyes
[oO\-]? # Nose (optional)
[D\)\]\(\]/\\OpP] # Mouth
)"""
emoji_pattern = re.compile("["
u"\U0001F600-\U0001F64F" # emoticons
u"\U0001F300-\U0001F5FF" # symbols & pictographs
u"\U0001F680-\U0001F6FF" # transport & map symbols
u"\U0001F1E0-\U0001F1FF" # flags (iOS)
"]+", flags=re.UNICODE)
regex_str = [
emoticons_str,
r'<[^>]+>', # HTML tags
r'(?:@[\w_]+)', # @-mentions
r"(?:\#+[\w_]+[\w\'_\-]*[\w_]+)", # hash-tags
r'http[s]?://(?:[a-z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-f][0-9a-f]))+', # URLs
r'(?:(?:\d+,?)+(?:\.?\d+)?)', # numbers
r"(?:[a-z][a-z'\-_]+[a-z])", # words with - and '
r'(?:[\w_]+)', # other words
r'(?:\S)' # anything else
]
tokens_re = re.compile(r'(' + '|'.join(regex_str) + ')', re.VERBOSE | re.IGNORECASE)
emoticon_re = re.compile(r'^' + emoticons_str + '$', re.VERBOSE | re.IGNORECASE)
def tokenize(s):
return tokens_re.findall(s)
# Pre processing the tokenized data
def preprocess(s, lowercase=False):
tokens = tokenize(s)
if lowercase:
tokens = [token if emoticon_re.search(token) else token.lower() for token in tokens]
return tokens
# Using unidecode to remove all the non ascii characters from our string.
def preproc(s):
# s=emoji_pattern.sub(r'', s) # no emoji
s = unidecode(s)
POSTagger = preprocess(s)
# print(POSTagger)
tweet = ' '.join(POSTagger)
stop_words = set(stopwords.words('english'))
word_tokens = word_tokenize(tweet)
# filtered_sentence = [w for w in word_tokens if not w in stop_words]
filtered_sentence = []
for w in POSTagger:
if w not in stop_words:
filtered_sentence.append(w)
# print(word_tokens)
# print(filtered_sentence)
stemmed_sentence = []
stemmer2 = SnowballStemmer("english", ignore_stopwords=True)
for w in filtered_sentence:
stemmed_sentence.append(stemmer2.stem(w))
# print(stemmed_sentence)
temp = ' '.join(c for c in stemmed_sentence if c not in string.punctuation)
preProcessed = temp.split(" ")
final = []
for i in preProcessed:
if i not in final:
if i.isdigit():
pass
else:
if 'http' not in i:
final.append(i)
temp1 = ' '.join(c for c in final)
# print(preProcessed)
return temp1
# Using API call to get the tweets of the desired handle
def getTweets(user):
csvFile = open(resource_path('Resource_Images/user.csv'), 'w', newline='')
csvWriter = csv.writer(csvFile)
try:
for i in range(0, 4):
tweets = api.user_timeline(screen_name=user, count=1000, include_rts=True, page=i)
for status in tweets:
tw = preproc(status.text)
if tw.find(" ") == -1:
tw = "blank"
csvWriter.writerow([tw])
except tweepy.TweepyException:
print("Failed to run the command on that user, Skipping...")
csvFile.close()
import tweepy as tw
# Declaring secrets and tokens for our twitter api
consumer_key = 'DadKR3DKcG1PWvyh8igvAIaYN'
consumer_secret = 'KjWoOAwm7uwwT0vTGWcuomuPq9Wglo5pA29kPxhOPvddMmO2Eg'
access_token = '1266720191502680066-YGjG1jvAjIOOsG6NibYCDH7trAznfk'
access_token_secret = '1E8fi5w2hi8eRyvnVvHcJnOU9p66oiJaXe5l1PAIQNYqA'
auth = tw.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tw.API(auth, wait_on_rate_limit=True)
def join(text):
return "||| ".join(text)
# For fetching all the tweets from the specified handle
def twits(handle):
res = api.user_timeline(screen_name=handle, count=1000, include_rts=True)
tweets = [tweet.text for tweet in res]
return tweets
# All the info for the processing is loaded. The tweets and frequency saved in their respective files are loaded.
# Vectorizer is defined and the models loaded. The model is fitted to provide the result and on the basis of result the personality is predicted.
# I/E, S/N, T/Fand P/J is chosen to get the personality. These letters are chosen on the basis of higher frequency.
def twit(handle):
getTweets(handle)
with open(resource_path('Resource_Images/user.csv'), 'rt') as f:
csvReader = csv.reader(f)
tweetList = [rows[0] for rows in csvReader]
with open(resource_path('Resource_Images/newfrequency300.csv'), 'rt') as f:
csvReader = csv.reader(f)
mydict = {rows[1]: int(rows[0]) for rows in csvReader}
vectorizer = TfidfVectorizer(vocabulary=mydict, min_df=1)
x = vectorizer.fit_transform(tweetList).toarray()
df = pd.DataFrame(x)
model_IE = pickle.load(open(resource_path("Resource_Images/BNIEFinal.sav"), 'rb'))
model_SN = pickle.load(open(resource_path("Resource_Images/BNSNFinal.sav"), 'rb'))
model_TF = pickle.load(open(resource_path('Resource_Images/BNTFFinal.sav'), 'rb'))
model_PJ = pickle.load(open(resource_path('Resource_Images/BNPJFinal.sav'), 'rb'))
answer = []
IE = model_IE.predict(df)
SN = model_SN.predict(df)
TF = model_TF.predict(df)
PJ = model_PJ.predict(df)
b = Counter(IE)
value = b.most_common(1)
if value[0][0] == 1.0:
answer.append("I")
else:
answer.append("E")
b = Counter(SN)
value = b.most_common(1)
if value[0][0] == 1.0:
answer.append("S")
else:
answer.append("N")
b = Counter(TF)
value = b.most_common(1)
if value[0][0] == 1:
answer.append("T")
else:
answer.append("F")
b = Counter(PJ)
value = b.most_common(1)
if value[0][0] == 1:
answer.append("P")
else:
answer.append("J")
mbti = "".join(answer)
return mbti
def split(text):
return [char for char in text]
# Listing all the jobs on the basis of features of the personality extracted. These will be clubbed together and returned to get the entire list.
List_jobs_I = ['Accounting manager',
'Landscape designer',
'Behavioral therapist',
'Graphic designer',
'IT manager']
List_jobs_E = ['Flight attendant',
'Event planner',
'Teacher',
'Criminal investigator',
'General manager']
List_jobs_S = ['Home health aide',
'Detective',
'Actor',
'Nurse']
List_jobs_N = ['Social worker',
'HR manager',
'Counselor',
'Therapist']
List_jobs_F = ['Entertainer',
'Mentor',
'Advocate',
'Artist',
'Defender',
'Dreamer']
List_jobs_T = ['Video game designer',
'Graphic designer',
'Social media manager',
'Copywriter',
'Public relations manager',
'Digital marketers',
'Lawyer',
'Research scientist',
'User experience designer',
'Software architect']
List_jobs_J = ['Showroom designer',
'IT administrator',
'Marketing director',
'Judge',
'Coach']
List_jobs_P = ['Museum curator',
'Copywriter',
'Public relations specialist',
'Social worker',
'Medical researcher',
'Office Manager']
# SImilar to above all the characters are mapped to the respective personality detected
List_ch_I = ['Reflective',
'Self-aware',
'Take time making decisions',
'Feel comfortable being alone',
'Dont like group works']
List_ch_E = ['Enjoy social settings',
'Do not like or need a lot of alone time',
'Thrive around people',
'Outgoing and optimistic',
'Prefer to talk out problem or questions']
List_ch_N = ['Listen to and obey their inner voice',
'Pay attention to their inner dreams',
'Typically optimistic souls',
'Strong sense of purpose',
'Closely observe their surroundings']
List_ch_S = ['Remember events as snapshots of what actually happened',
'Solve problems by working through facts',
'Programmatic',
'Start with facts and then form a big picture',
'Trust experience first and trust words and symbols less',
'Sometimes pay so much attention to facts, either present or past, that miss new possibilities']
List_ch_F = ['Decides with heart',
'Dislikes conflict',
'Passionate',
'Driven by emotion',
'Gentle',
'Easily hurt',
'Empathetic',
'Caring of others']
List_ch_T = ['Logical',
'Objective',
'Decides with head',
'Wants truth',
'Rational',
'Impersonal',
'Critical',
'Firm with people']
List_ch_J = ['Self-disciplined',
'Decisive',
'Structured',
'Organized',
'Responsive',
'Fastidious',
'Create short and long-term plans',
'Make a list of things to do',
'Schedule things in advance',
'Form and express judgments',
'Bring closure to an issue so that we can move on']
List_ch_P = ['Relaxed',
'Adaptable',
'Non judgemental',
'Carefree',
'Creative',
'Curious',
'Postpone decisions to see what other options are available',
'Act spontaneously',
'Decide what to do as we do it, rather than forming a plan ahead of time',
'Do things at the last minute']
# Joins and returns the list of characters speific to the the personality detected.
def charcter(text):
o = split(text)
characteristics = []
for i in range(0, 4):
if o[i] == 'I':
characteristics.append('\n'.join(List_ch_I))
if o[i] == 'E':
characteristics.append('\n'.join(List_ch_E))
if o[i] == 'N':
characteristics.append('\n'.join(List_ch_N))
if o[i] == 'S':
characteristics.append('\n'.join(List_ch_S))
if o[i] == 'F':
characteristics.append('\n'.join(List_ch_F))
if o[i] == 'T':
characteristics.append('\n'.join(List_ch_F))
if o[i] == 'J':
characteristics.append('\n'.join(List_ch_J))
if o[i] == 'P':
characteristics.append('\n'.join(List_ch_P))
crct = '\n'.join(characteristics)
data = crct.split("\n")
return data
# Joins and returns the list of job recommendations speific to the the personality detected.
def recomend(text):
b = split(text)
jobs = []
for i in range(0, 4):
if b[i] == 'I':
jobs.append('\n'.join(List_jobs_I))
if b[i] == 'E':
jobs.append('\n'.join(List_jobs_E))
if b[i] == 'N':
jobs.append('\n'.join(List_jobs_N))
if b[i] == 'S':
jobs.append('\n'.join(List_jobs_S))
if b[i] == 'F':
jobs.append('\n'.join(List_jobs_F))
if b[i] == 'T':
jobs.append('\n'.join(List_jobs_T))
if b[i] == 'J':
jobs.append('\n'.join(List_jobs_J))
if b[i] == 'P':
jobs.append('\n'.join(List_jobs_P))
crct1 = '\n'.join(jobs)
data1 = crct1.split("\n")
return (split(data1))
def pp(handle):
personality = twit(handle)
return personality, recomend(personality), charcter(personality)
def resource_path(relative_path):
try:
# PyInstaller creates a temp folder and stores path in _MEIPASS
base_path = sys._MEIPASS
except Exception:
base_path = os.path.abspath(".")
return os.path.join(base_path, relative_path)
# Creating the Tkinter frontend for proper interaction
from tkinter import *
from PIL import ImageTk
import tkinter as tk
class MyWindow:
def __init__(self, win):
self.bg1 = None
self.D_lbl0 = ttk.Label(win, text='Personality Based Job Recommender Using Twitter Data', font=("Arial", 10))
self.D_lbl0.place(x=40, y=30)
self.btn1 = ttk.Button(win, text='Start Application', style='Accent.TButton', command=self.home1)
self.btn1.place(x=130, y=120)
self.btn1 = ttk.Button(win, text='Quit', style='Accent.TButton', command=win.destroy)
self.btn1.place(x=142, y=165)
def home1(self):
newwin13 = Toplevel(window)
newwin13.geometry("600x600")
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/Home.png"))
canvas = Canvas(newwin13, width=50, height=60)
canvas.pack(expand=True, fill=BOTH)
canvas.pack(padx=0, pady=170)
canvas.create_image(500, 70, image=self.bg1, anchor="ne")
self.D_lbl0 = ttk.Label(newwin13, text='Personality Based Job Recommender Using Twitter Data ',
font=("Arial", 15))
self.D_lbl0.place(x=50, y=30)
self.btn1 = ttk.Button(newwin13, text='MBTI DATA', style='Accent.TButton',
command=lambda: [self.mbti(), newwin13.destroy()])
self.btn1.place(x=150, y=120)
self.btn1 = ttk.Button(newwin13, text='TWITTER DATA', style='Accent.TButton',
command=lambda: [self.twitter(), newwin13.destroy()])
self.btn1.place(x=350, y=120)
def mbti(self):
newwin = Toplevel(window)
newwin.geometry("1280x720")
self.btn1 = ttk.Button(newwin, text='MBTI DATA', style='Accent.TButton',
command=lambda: [newwin.destroy(), self.mbti()])
self.btn1.place(x=510, y=120)
self.btn1 = ttk.Button(newwin, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin.destroy()])
self.btn1.place(x=410, y=120)
self.btn1 = ttk.Button(newwin, text='MBTI TEST', style='Accent.TButton',
command=lambda: [self.mbt(), newwin.destroy()])
self.btn1.place(x=610, y=120)
self.btn1 = ttk.Button(newwin, text='EXPLORATORY DATA', style='Accent.TButton',
command=lambda: [self.explore(), newwin.destroy()])
self.btn1.place(x=710, y=120)
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/data_info.png"))
canvas = Canvas(newwin, width=2500, height=2000)
canvas.pack(expand=True, fill=BOTH)
canvas.pack(padx=0, pady=170)
canvas.create_image(1050, 70, image=self.bg1, anchor="ne")
self.D_lbl0 = ttk.Label(newwin, text='Personality Based Job Recommender Using Twitter Data', font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
def mbt(self):
newwin1 = Toplevel(window)
newwin1.geometry("1280x720")
self.D_lbl0 = ttk.Label(newwin1, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.btn1 = ttk.Button(newwin1, text='MBTI DATA', style='Accent.TButton',
command=lambda: [self.mbti(), newwin1.destroy()])
self.btn1.place(x=510, y=120)
self.btn1 = ttk.Button(newwin1, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin1.destroy()])
self.btn1.place(x=410, y=120)
self.btn1 = ttk.Button(newwin1, text='MBTI TEST', style='Accent.TButton',
command=lambda: [newwin1.destroy(), self.mbt()])
self.btn1.place(x=610, y=120)
self.btn1 = ttk.Button(newwin1, text='EXPLORATORY DATA', style='Accent.TButton',
command=lambda: [self.explore(), newwin1.destroy()])
self.btn1.place(x=710, y=120)
canvas = Canvas(newwin1, width=2500, height=2000)
canvas.pack(expand=True, fill=BOTH)
canvas.pack(padx=0, pady=170)
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/TestResults.png"))
canvas.create_image(1050, 70, image=self.bg1, anchor="ne")
def twitter(self):
newwin9 = Toplevel(window)
newwin9.geometry("1280x720")
self.D_lbl0 = ttk.Label(newwin9, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.btn1 = ttk.Button(newwin9, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin9.destroy()])
self.btn1.place(x=365, y=120)
self.btn1 = ttk.Button(newwin9, text='TWITTER POSTS', style='Accent.TButton',
command=lambda: [self.posts(), newwin9.destroy()])
self.btn1.place(x=465, y=120)
self.btn1 = ttk.Button(newwin9, text='PREDICT PERSONALITY', style='Accent.TButton',
command=lambda: [self.home(), newwin9.destroy()])
self.btn1.place(x=597, y=120)
self.btn1 = ttk.Button(newwin9, text='RECOMMENDATIONS', style='Accent.TButton',
command=lambda: [self.recomends(), newwin9.destroy()])
self.btn1.place(x=775, y=120)
def posts(self):
newwin10 = Toplevel(window)
newwin10.geometry("1280x720")
self.D_btn1 = ttk.Button(newwin10, text='TWITTER POSTS', style='Accent.TButton',
command=lambda: [newwin10.destroy(), self.posts()])
self.D_btn1.place(x=465, y=120)
self.D_b1 = ttk.Button(newwin10, text='PREDICT PERSONALITY', style='Accent.TButton',
command=lambda: [self.home(), newwin10.destroy()])
self.D_b1.place(x=597, y=120)
self.D_btn1 = ttk.Button(newwin10, text='RECOMMENDATIONS', style='Accent.TButton',
command=lambda: [self.recomends(), newwin10.destroy()])
self.D_btn1.place(x=775, y=120)
self.btn1 = ttk.Button(newwin10, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin10.destroy()])
self.btn1.place(x=365, y=120)
self.D_lbl0 = ttk.Label(newwin10, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.t1 = Text(newwin10)
self.t3 = Text(newwin10)
self.t2 = ttk.Entry(newwin10)
self.lbl1 = ttk.Label(newwin10, text='Enter Twitter ID: ')
self.lbl1.place(x=500, y=180)
self.lbl4 = ttk.Label(newwin10, text='Tweets data of user:')
self.lbl4.place(x=50, y=290)
self.lbl4 = ttk.Label(newwin10, text='Cleaned data:')
self.lbl4.place(x=680, y=290)
self.t1.place(x=50, y=320)
self.t3.place(x=680, y=320)
self.t2.place(x=600, y=170, height=45)
self.b1 = ttk.Button(newwin10, text='Get Tweets', style='Accent.TButton', command=self.twt)
self.b1.place(x=250, y=240, width=130, height=50)
self.b1 = ttk.Button(newwin10, text='Pre Process Tweets', style='Accent.TButton', command=self.twt1)
self.b1.place(x=850, y=240, width=170, height=50)
def twt(self):
handle = self.t2.get()
res = twits(handle)
self.t1.configure(state='normal')
self.t1.delete('1.0', END)
self.t1.insert(END, str(res))
self.t1.configure(state='disabled')
def twt1(self):
handle = self.t2.get()
res1 = twits(handle)
tx1 = join(res1)
tx2 = pre_process(tx1)
self.t3.configure(state='normal')
self.t3.delete('1.0', END)
self.t3.insert(END, str(tx2))
self.t3.configure(state='disabled')
def recomends(self):
newwin11 = Toplevel(window)
newwin11.geometry("1280x720")
self.D_btn1 = ttk.Button(newwin11, text='TWITTER POSTS', style='Accent.TButton',
command=lambda: [self.posts(), newwin11.destroy()])
self.D_btn1.place(x=465, y=120)
self.D_b1 = ttk.Button(newwin11, text='PREDICT PERSONALITY', style='Accent.TButton',
command=lambda: [self.home(), newwin11.destroy()])
self.D_b1.place(x=597, y=120)
self.D_btn1 = ttk.Button(newwin11, text='RECOMMENDATIONS', style='Accent.TButton',
command=lambda: [newwin11.destroy(), self.recomends()])
self.D_btn1.place(x=775, y=120)
self.btn1 = ttk.Button(newwin11, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin11.destroy()])
self.btn1.place(x=365, y=120)
self.D_lbl0 = ttk.Label(newwin11, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.lbl1 = ttk.Label(newwin11, text='Enter handle name:')
self.lbl2 = ttk.Label(newwin11, text='Job Recommendations:')
self.lbl5 = ttk.Label(newwin11, text='Personality Type:')
self.b1 = ttk.Button(newwin11, text='Recommendations', style='Accent.TButton', command=self.recmd)
self.b1.place(x=600, y=280)
self.t0 = ttk.Entry(newwin11)
self.t2 = Text(newwin11, height=15, width=85)
self.t1 = Text(newwin11, height=2, width=10)
self.t0.place(x=650, y=220, height=40)
self.lbl2.place(x=400, y=410)
self.lbl1.place(x=485, y=227)
self.lbl5.place(x=500, y=332)
self.t1.place(x=650, y=330)
self.t2.place(x=400, y=460)
self.i = ttk.Label(newwin11, text='I - Introvert')
self.i.place(x=100, y=550)
self.e = ttk.Label(newwin11, text='E - Extrovert')
self.e.place(x=200, y=550)
self.n = ttk.Label(newwin11, text='N - Intuitive')
self.n.place(x=100, y=570)
self.s = ttk.Label(newwin11, text='S - Sensing')
self.s.place(x=200, y=570)
self.f = ttk.Label(newwin11, text='F - Feeling')
self.f.place(x=100, y=590)
self.tt = ttk.Label(newwin11, text='T - Thinking')
self.tt.place(x=200, y=590)
self.j = ttk.Label(newwin11, text='J - Judging')
self.j.place(x=100, y=610)
self.p = ttk.Label(newwin11, text='P - Perceiving')
self.p.place(x=200, y=610)
def recmd(self):
handle = self.t0.get()
res = twit(handle)
self.t1.configure(state='normal')
self.t1.delete('1.0', END)
self.t1.insert(END, str(res))
self.t1.configure(state='disabled')
r = self.t1.get
result = recomend(res)
self.t2.configure(state='normal')
self.t2.delete('1.0', END)
for i in range(len(result)):
self.t2.insert(END, str(result[i]))
self.t2.insert(END, str('\n'))
self.t2.configure(state='disabled')
def home(self):
newwin12 = Toplevel(window)
newwin12.geometry("1280x720")
self.D_btn1 = ttk.Button(newwin12, text='TWITTER POSTS', style='Accent.TButton',
command=lambda: [self.posts(), newwin12.destroy()])
self.D_btn1.place(x=465, y=120)
self.D_b1 = ttk.Button(newwin12, text='PREDICT PERSONALITY', style='Accent.TButton',
command=lambda: [newwin12.destroy(), self.home()])
self.D_b1.place(x=597, y=120)
self.D_btn1 = ttk.Button(newwin12, text='RECOMMENDATIONS', style='Accent.TButton',
command=lambda: [self.recomends(), newwin12.destroy()])
self.D_btn1.place(x=775, y=120)
self.btn1 = ttk.Button(newwin12, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin12.destroy()])
self.btn1.place(x=365, y=120)
self.D_lbl0 = ttk.Label(newwin12, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.lbl2 = ttk.Label(newwin12, text='Characteristics of Personalities:')
self.lbl2.place(x=650, y=250)
self.t = Text(newwin12, height=15, width=85)
self.t.place(x=650, y=310)
self.lbl2 = ttk.Label(newwin12, text='Predicted Personality Type')
self.lbl2.place(x=200, y=437)
self.lbl1 = ttk.Label(newwin12, text='Enter handle name of twitter:')
self.lbl1.place(x=150, y=307)
self.t1 = ttk.Entry(newwin12)
self.t1.place(x=350, y=300, height=40)
self.t2 = Text(newwin12, width=10)
self.t2.place(x=380, y=430, height=40)
self.b1 = ttk.Button(newwin12, text='Predict Personality', style='Accent.TButton', command=self.predict)
self.b1.place(x=300, y=375)
self.i = ttk.Label(newwin12, text='I - Introvert')
self.i.place(x=100, y=550)
self.e = ttk.Label(newwin12, text='E - Extrovert')
self.e.place(x=200, y=550)
self.n = ttk.Label(newwin12, text='N - Intuitive')
self.n.place(x=100, y=570)
self.s = ttk.Label(newwin12, text='S - Sensing')
self.s.place(x=200, y=570)
self.f = ttk.Label(newwin12, text='F - Feeling')
self.f.place(x=100, y=590)
self.tt = ttk.Label(newwin12, text='T - Thinking')
self.tt.place(x=200, y=590)
self.j = ttk.Label(newwin12, text='J - Judging')
self.j.place(x=100, y=610)
self.p = ttk.Label(newwin12, text='P - Perceiving')
self.p.place(x=200, y=610)
def predict(self):
handle = self.t1.get()
res = twit(handle)
self.t2.configure(state='normal')
self.t2.delete('1.0', END)
self.t2.insert(END, str(res))
self.t2.configure(state='disabled')
r = self.t2.get
result = charcter(res)
self.t.configure(state='normal')
self.t.delete('1.0', END)
for i in range(len(result)):
self.t.insert(END, str(result[i]))
self.t.insert(END, str('\n'))
self.t.configure(state='disabled')
def explore(self):
newwin2 = Toplevel(window)
newwin2.geometry("1280x720")
canvas = Canvas(newwin2, width=2500, height=2000)
canvas.pack(expand=True, fill=BOTH)
canvas.pack(padx=0, pady=100)
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/CountPlot.png"))
canvas.create_image(50, 70, image=self.bg1, anchor="nw")
self.D_lbl0 = ttk.Label(newwin2, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.btn1 = ttk.Button(newwin2, text='MBTI DATA', style='Accent.TButton',
command=lambda: [self.mbti(), newwin2.destroy()])
self.btn1.place(x=510, y=120)
self.btn1 = ttk.Button(newwin2, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin2.destroy()])
self.btn1.place(x=410, y=120)
self.btn1 = ttk.Button(newwin2, text='MBTI TEST', style='Accent.TButton',
command=lambda: [self.mbt(), newwin2.destroy()])
self.btn1.place(x=610, y=120)
self.btn1 = ttk.Button(newwin2, text='EXPLORATORY DATA', style='Accent.TButton',
command=lambda: [newwin2.destroy(), self.explore()])
self.btn1.place(x=710, y=120)
self.btn1 = ttk.Button(newwin2, text='PIE PLOT', style='Accent.TButton',
command=lambda: [self.explore1(), newwin2.destroy()])
self.btn1.place(x=1000, y=200)
self.btn1 = ttk.Button(newwin2, text='DIS PLOT', style='Accent.TButton',
command=lambda: [self.explore2(), newwin2.destroy()])
self.btn1.place(x=1000, y=250)
self.btn1 = ttk.Button(newwin2, text='I-E PLOT', style='Accent.TButton',
command=lambda: [self.explore3(), newwin2.destroy()])
self.btn1.place(x=1000, y=300)
self.btn1 = ttk.Button(newwin2, text='N-S PLOT', style='Accent.TButton',
command=lambda: [self.explore4(), newwin2.destroy()])
self.btn1.place(x=1000, y=350)
self.btn1 = ttk.Button(newwin2, text='T-F PLOT', style='Accent.TButton',
command=lambda: [self.explore5(), newwin2.destroy()])
self.btn1.place(x=1000, y=400)
self.btn1 = ttk.Button(newwin2, text='P-J PLOT', style='Accent.TButton',
command=lambda: [self.explore6(), newwin2.destroy()])
self.btn1.place(x=1000, y=450)
def explore1(self):
newwin3 = Toplevel(window)
newwin3.geometry("1280x720")
canvas = Canvas(newwin3, width=2500, height=2000)
canvas.pack(expand=True, fill=BOTH)
canvas.pack(padx=0, pady=100)
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/PiePlot.png"))
canvas.create_image(50, 70, image=self.bg1, anchor="nw")
self.D_lbl0 = ttk.Label(newwin3, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.btn1 = ttk.Button(newwin3, text='MBTI DATA', style='Accent.TButton',
command=lambda: [self.mbti(), newwin3.destroy()])
self.btn1.place(x=510, y=120)
self.btn1 = ttk.Button(newwin3, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin3.destroy()])
self.btn1.place(x=410, y=120)
self.btn1 = ttk.Button(newwin3, text='MBTI TEST', style='Accent.TButton',
command=lambda: [self.mbt(), newwin3.destroy()])
self.btn1.place(x=610, y=120)
self.btn1 = ttk.Button(newwin3, text='EXPLORATORY DATA', style='Accent.TButton',
command=lambda: [newwin3.destroy(), self.explore()])
self.btn1.place(x=710, y=120)
self.btn1 = ttk.Button(newwin3, text='PIE PLOT', style='Accent.TButton',
command=lambda: [self.explore1(), newwin3.destroy()])
self.btn1.place(x=1000, y=200)
self.btn1 = ttk.Button(newwin3, text='DIS PLOT', style='Accent.TButton',
command=lambda: [self.explore2(), newwin3.destroy()])
self.btn1.place(x=1000, y=250)
self.btn1 = ttk.Button(newwin3, text='I-E PLOT', style='Accent.TButton',
command=lambda: [self.explore3(), newwin3.destroy()])
self.btn1.place(x=1000, y=300)
self.btn1 = ttk.Button(newwin3, text='N-S PLOT', style='Accent.TButton',
command=lambda: [self.explore4(), newwin3.destroy()])
self.btn1.place(x=1000, y=350)
self.btn1 = ttk.Button(newwin3, text='T-F PLOT', style='Accent.TButton',
command=lambda: [self.explore5(), newwin3.destroy()])
self.btn1.place(x=1000, y=400)
self.btn1 = ttk.Button(newwin3, text='P-J PLOT', style='Accent.TButton',
command=lambda: [self.explore6(), newwin3.destroy()])
self.btn1.place(x=1000, y=450)
def explore2(self):
newwin4 = Toplevel(window)
newwin4.geometry("1280x720")
canvas = Canvas(newwin4, width=2500, height=2000)
canvas.pack(padx=0, pady=100)
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/Displot.png"))
canvas.create_image(50, 70, image=self.bg1, anchor="nw")
self.D_lbl0 = ttk.Label(newwin4, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.btn1 = ttk.Button(newwin4, text='MBTI DATA', style='Accent.TButton',
command=lambda: [self.mbti(), newwin4.destroy()])
self.btn1.place(x=510, y=120)
self.btn1 = ttk.Button(newwin4, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin4.destroy()])
self.btn1.place(x=410, y=120)
self.btn1 = ttk.Button(newwin4, text='MBTI TEST', style='Accent.TButton',
command=lambda: [self.mbt(), newwin4.destroy()])
self.btn1.place(x=610, y=120)
self.btn1 = ttk.Button(newwin4, text='EXPLORATORY DATA', style='Accent.TButton',
command=lambda: [newwin4.destroy(), self.explore()])
self.btn1.place(x=710, y=120)
self.btn1 = ttk.Button(newwin4, text='PIE PLOT', style='Accent.TButton',
command=lambda: [self.explore1(), newwin4.destroy()])
self.btn1.place(x=1000, y=200)
self.btn1 = ttk.Button(newwin4, text='DIS PLOT', style='Accent.TButton',
command=lambda: [self.explore2(), newwin4.destroy()])
self.btn1.place(x=1000, y=250)
self.btn1 = ttk.Button(newwin4, text='I-E PLOT', style='Accent.TButton',
command=lambda: [self.explore3(), newwin4.destroy()])
self.btn1.place(x=1000, y=300)
self.btn1 = ttk.Button(newwin4, text='N-S PLOT', style='Accent.TButton',
command=lambda: [self.explore4(), newwin4.destroy()])
self.btn1.place(x=1000, y=350)
self.btn1 = ttk.Button(newwin4, text='T-F PLOT', style='Accent.TButton',
command=lambda: [self.explore5(), newwin4.destroy()])
self.btn1.place(x=1000, y=400)
self.btn1 = ttk.Button(newwin4, text='P-J PLOT', style='Accent.TButton',
command=lambda: [self.explore6(), newwin4.destroy()])
self.btn1.place(x=1000, y=450)
def explore3(self):
newwin5 = Toplevel(window)
newwin5.geometry("1280x720")
canvas = Canvas(newwin5, width=2500, height=2000)
canvas.pack(expand=True, fill=BOTH)
canvas.pack(padx=0, pady=100)
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/I_E.png"))
canvas.create_image(50, 70, image=self.bg1, anchor="nw")
self.D_lbl0 = ttk.Label(newwin5, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.btn1 = ttk.Button(newwin5, text='MBTI DATA', style='Accent.TButton',
command=lambda: [self.mbti(), newwin5.destroy()])
self.btn1.place(x=510, y=120)
self.btn1 = ttk.Button(newwin5, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin5.destroy()])
self.btn1.place(x=410, y=120)
self.btn1 = ttk.Button(newwin5, text='MBTI TEST', style='Accent.TButton',
command=lambda: [self.mbt(), newwin5.destroy()])
self.btn1.place(x=610, y=120)
self.btn1 = ttk.Button(newwin5, text='EXPLORATORY DATA', style='Accent.TButton',
command=lambda: [newwin5.destroy(), self.explore()])
self.btn1.place(x=710, y=120)
self.btn1 = ttk.Button(newwin5, text='PIE PLOT', style='Accent.TButton',
command=lambda: [self.explore1(), newwin5.destroy()])
self.btn1.place(x=1000, y=200)
self.btn1 = ttk.Button(newwin5, text='DIS PLOT', style='Accent.TButton',
command=lambda: [self.explore2(), newwin5.destroy()])
self.btn1.place(x=1000, y=250)
self.btn1 = ttk.Button(newwin5, text='I-E PLOT', style='Accent.TButton',
command=lambda: [self.explore3(), newwin5.destroy()])
self.btn1.place(x=1000, y=300)
self.btn1 = ttk.Button(newwin5, text='N-S PLOT', style='Accent.TButton',
command=lambda: [self.explore4(), newwin5.destroy()])
self.btn1.place(x=1000, y=350)
self.btn1 = ttk.Button(newwin5, text='T-F PLOT', style='Accent.TButton',
command=lambda: [self.explore5(), newwin5.destroy()])
self.btn1.place(x=1000, y=400)
self.btn1 = ttk.Button(newwin5, text='P-J PLOT', style='Accent.TButton',
command=lambda: [self.explore6(), newwin5.destroy()])
self.btn1.place(x=1000, y=450)
def explore4(self):
newwin6 = Toplevel(window)
newwin6.geometry("1280x720")
canvas = Canvas(newwin6, width=2500, height=2000)
canvas.pack(expand=True, fill=BOTH)
canvas.pack(padx=0, pady=100)
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/N_S.png"))
canvas.create_image(50, 70, image=self.bg1, anchor="nw")
self.D_lbl0 = ttk.Label(newwin6, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.btn1 = ttk.Button(newwin6, text='MBTI DATA', style='Accent.TButton',
command=lambda: [self.mbti(), newwin6.destroy()])
self.btn1.place(x=510, y=120)
self.btn1 = ttk.Button(newwin6, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin6.destroy()])
self.btn1.place(x=410, y=120)
self.btn1 = ttk.Button(newwin6, text='MBTI TEST', style='Accent.TButton',
command=lambda: [self.mbt(), newwin6.destroy()])
self.btn1.place(x=610, y=120)
self.btn1 = ttk.Button(newwin6, text='EXPLORATORY DATA', style='Accent.TButton',
command=lambda: [newwin6.destroy(), self.explore()])
self.btn1.place(x=710, y=120)
self.btn1 = ttk.Button(newwin6, text='PIE PLOT', style='Accent.TButton',
command=lambda: [self.explore1(), newwin6.destroy()])
self.btn1.place(x=1000, y=200)
self.btn1 = ttk.Button(newwin6, text='DIS PLOT', style='Accent.TButton',
command=lambda: [self.explore2(), newwin6.destroy()])
self.btn1.place(x=1000, y=250)
self.btn1 = ttk.Button(newwin6, text='I-E PLOT', style='Accent.TButton',
command=lambda: [self.explore3(), newwin6.destroy()])
self.btn1.place(x=1000, y=300)
self.btn1 = ttk.Button(newwin6, text='N-S PLOT', style='Accent.TButton',
command=lambda: [self.explore4(), newwin6.destroy()])
self.btn1.place(x=1000, y=350)
self.btn1 = ttk.Button(newwin6, text='T-F PLOT', style='Accent.TButton',
command=lambda: [self.explore5(), newwin6.destroy()])
self.btn1.place(x=1000, y=400)
self.btn1 = ttk.Button(newwin6, text='P-J PLOT', style='Accent.TButton',
command=lambda: [self.explore6(), newwin6.destroy()])
self.btn1.place(x=1000, y=450)
def explore5(self):
newwin7 = Toplevel(window)
newwin7.geometry("1280x720")
canvas = Canvas(newwin7, width=2500, height=2000)
canvas.pack(expand=True, fill=BOTH)
canvas.pack(padx=0, pady=100)
self.bg1 = ImageTk.PhotoImage(file=resource_path("Resource_Images/T_F.png"))
canvas.create_image(50, 70, image=self.bg1, anchor="nw")
self.D_lbl0 = ttk.Label(newwin7, text='Personality Based Job Recommender Using Twitter Data',
font=("Arial", 15))
self.D_lbl0.place(x=400, y=30)
self.btn1 = ttk.Button(newwin7, text='MBTI DATA', style='Accent.TButton',
command=lambda: [self.mbti(), newwin7.destroy()])
self.btn1.place(x=510, y=120)
self.btn1 = ttk.Button(newwin7, text='HOME', style='Accent.TButton',
command=lambda: [self.home1(), newwin7.destroy()])
self.btn1.place(x=410, y=120)
self.btn1 = ttk.Button(newwin7, text='MBTI TEST', style='Accent.TButton',
command=lambda: [self.mbt(), newwin7.destroy()])
self.btn1.place(x=610, y=120)
self.btn1 = ttk.Button(newwin7, text='EXPLORATORY DATA', style='Accent.TButton',
command=lambda: [newwin7.destroy(), self.explore()])
self.btn1.place(x=710, y=120)
self.btn1 = ttk.Button(newwin7, text='PIE PLOT', style='Accent.TButton',
command=lambda: [self.explore1(), newwin7.destroy()])
self.btn1.place(x=1000, y=200)
self.btn1 = ttk.Button(newwin7, text='DIS PLOT', style='Accent.TButton',
command=lambda: [self.explore2(), newwin7.destroy()])