The mission is about sentiment evaluation. I’ve used GUI utilizing Tkinter,& varied machine studying algorithms,& tried to research the tweets & the efficiency of the a number of algorithms. The hyperlink of the repo https://github.com/akbloodadarsh/Twitter-Sentimental-Evaluation

if __name__ == "__main__":
mainwindow = Tk()
mainwindow.title("Twitter Sentimental Evaluation Engine")
Label(mainwindow, textual content="TWITTER SENTIMENTAL ANALYSIS ENGINE", bg="black", fg="white").pack(aspect=TOP, fill=X, padx=2, pady=2)
photograph = PhotoImage(file="Twitterlogo.png")
Label(mainwindow, picture=photograph, bg="black", fg="white").pack(aspect=TOP, fill=X)
messages_frame = Body(mainwindow)
scrollbar = Scrollbar(messages_frame)  # To navigate by means of previous messages.
# Following will include the messages.
msg_list = Listbox(messages_frame, top=15, width=50, yscrollcommand=scrollbar.set)
scrollbar.pack(aspect=RIGHT, fill=Y,padx=2,pady=2)
msg_list.pack(aspect=LEFT, fill=BOTH,padx=2,pady=2)
msg_list.pack(padx=2,pady=2)
messages_frame.pack()
Label(mainwindow, textual content="USERNAME", bg="black", fg="white").pack(aspect=TOP, fill=X, padx=2, pady=2)
Entry1 = Entry(mainwindow)
Entry1.pack(aspect=TOP, padx=2, pady=2)
Label(mainwindow, textual content="NUMBER OF TWEETS", bg="black", fg="white").pack(aspect=TOP, fill=X, padx=2, pady=2)
w = Scale(mainwindow, from_=1, to=10, orient=HORIZONTAL)
w.pack(aspect=TOP, fill=X, padx=2, pady=2)
But1 = Button(mainwindow, textual content="RUN", command=execute)
But1.pack(aspect=TOP, fill=X, padx=2, pady=2)
mainwindow.mainloop()