پروژه نهم پایتون : تشخیص احساسات از روی متن

خب اول وسایل لازم که در زیر نوشته شده را تهیه کنید .

• پایتون

• کتابخانه sys

• کتابخانه PyQt5

• کتابخانه textblob

خب پس از نصب کتابخانه های لازم کد زیر را در پایتون میزنید .

import sys
from PyQt5.QtWidgets import *
from PyQt5.QtGui import QFont, QIcon
from PyQt5.QtCore import Qt
from textblob import TextBlob # Import TextBlob

# --- برای نصب TextBlob ---
# pip install PyQt5
# pip install textblob
# python -m textblob.download_corpora  # این دستور رو یک بار اجرا کنید

class SentimentApp(QWidget):
    def __init__(self):
        super().__init__()
        self.initUI()
        
    def initUI(self):
        self.setWindowTitle('Sentiment Analyzer (TextBlob)')
        # self.setWindowIcon(QIcon('/path/to/your/icon.png')) # Optional: Set an icon
        self.setGeometry(150, 150, 650, 450) # Adjusted size slightly
        
        # Main layout
        layout = QVBoxLayout()
        
        # Title
        title = QLabel('Sentiment Analysis with TextBlob')
        title.setFont(QFont('Arial', 18, QFont.Bold))
        title.setAlignment(Qt.AlignCenter)
        title.setStyleSheet("color: #333;")
        layout.addWidget(title)
        
        # Input Label
        input_label = QLabel('Enter your text (English):')
        input_label.setFont(QFont('Arial', 12))
        input_label.setStyleSheet("margin-top: 15px;")
        layout.addWidget(input_label)
        
        # Text Edit for input
        self.text_edit = QTextEdit()
        self.text_edit.setFont(QFont('Arial', 11))
        self.text_edit.setPlaceholderText("Type or paste your English text here...")
        self.text_edit.setMinimumHeight(100) # Give it some space
        self.text_edit.setStyleSheet("padding: 10px; border: 1px solid #ccc; border-radius: 5px;")
        layout.addWidget(self.text_edit)
        
        # Button Layout
        btn_layout = QHBoxLayout()
        
        analyze_btn = QPushButton('Analyze Sentiment')
        analyze_btn.clicked.connect(self.analyze_sentiment)
        analyze_btn.setStyleSheet("""
            QPushButton {
                background-color: #4CAF50; color: white; padding: 10px 20px;
                border: none; border-radius: 5px; font-size: 12pt;
            }
            QPushButton:hover {
                background-color: #45a049;
            }
        """)
        btn_layout.addWidget(analyze_btn)
        
        clear_btn = QPushButton('Clear All')
        clear_btn.clicked.connect(self.clear_all)
        clear_btn.setStyleSheet("""
            QPushButton {
                background-color: #f44336; color: white; padding: 10px 20px;
                border: none; border-radius: 5px; font-size: 12pt;
            }
            QPushButton:hover {
                background-color: #da190b;
            }
        """)
        btn_layout.addWidget(clear_btn)
        
        layout.addLayout(btn_layout)
        
        # Result Display Area
        result_label_title = QLabel('Analysis Result:')
        result_label_title.setFont(QFont('Arial', 14, QFont.Bold))
        result_label_title.setStyleSheet("margin-top: 20px; color: #555;")
        layout.addWidget(result_label_title)
        
        self.result_display = QLabel('—')
        self.result_display.setFont(QFont('Arial', 16))
        self.result_display.setAlignment(Qt.AlignCenter)
        self.result_display.setStyleSheet("background-color: #e0e0e0; padding: 20px; border-radius: 8px; font-weight: bold;")
        layout.addWidget(self.result_display)
        
        # Polarity and Subjectivity Scores
        score_layout = QHBoxLayout()
        
        self.polarity_label = QLabel('Polarity: 0.0')
        self.polarity_label.setFont(QFont('Arial', 11))
        score_layout.addWidget(self.polarity_label)
        
        self.subjectivity_label = QLabel('Subjectivity: 0.0')
        self.subjectivity_label.setFont(QFont('Arial', 11))
        score_layout.addWidget(self.subjectivity_label)
        
        layout.addLayout(score_layout)
        
        # Footer/Explanation
        footer = QLabel('Powered by TextBlob. Polarity ranges from -1 (negative) to 1 (positive). Subjectivity ranges from 0 (objective) to 1 (subjective).')
        footer.setFont(QFont('Arial', 9))
        footer.setWordWrap(True)
        footer.setAlignment(Qt.AlignCenter)
        footer.setStyleSheet("color: #777; margin-top: 10px;")
        layout.addWidget(footer)
        
        self.setLayout(layout)
    
    def analyze_sentiment(self):
        text = self.text_edit.toPlainText().strip()
        
        if not text:
            QMessageBox.warning(self, 'Empty Input', 'Please enter some English text to analyze.')
            return
        
        try:
            # Use TextBlob for sentiment analysis
            blob = TextBlob(text)
            sentiment = blob.sentiment
            
            polarity = sentiment.polarity
            subjectivity = sentiment.subjectivity
            
            # Determine sentiment category
            if polarity > 0.1: # Threshold can be adjusted
                sentiment_category = 'POSITIVE 😊'
                color = '#4CAF50' # Green
            elif polarity < -0.1: # Threshold can be adjusted
                sentiment_category = 'NEGATIVE 😞'
                color = '#f44336' # Red
            else:
                sentiment_category = 'NEUTRAL 😐'
                color = '#ff9800' # Orange
            
            # Update result display
            self.result_display.setText(f'{sentiment_category}')
            self.result_display.setStyleSheet(f"background-color: #e0e0e0; padding: 20px; border-radius: 8px; font-weight: bold; color: {color};")
            
            # Update score labels
            self.polarity_label.setText(f'Polarity: {polarity:.3f}')
            self.subjectivity_label.setText(f'Subjectivity: {subjectivity:.3f}')
            
        except Exception as e:
            QMessageBox.critical(self, 'Error', f'An error occurred during analysis: {e}\n\nMake sure you have run "python -m textblob.download_corpora".')
            self.result_display.setText('Error')
            self.polarity_label.setText('Polarity: N/A')
            self.subjectivity_label.setText('Subjectivity: N/A')

    def clear_all(self):
        self.text_edit.clear()
        self.result_display.setText('—')
        self.polarity_label.setText('Polarity: 0.0')
        self.subjectivity_label.setText('Subjectivity: 0.0')

if __name__ == '__main__':
    app = QApplication(sys.argv)
    
    # --- IMPORTANT: Download necessary corpora for TextBlob ---
    # You only need to run this part once.
    # If you haven't run it before, uncomment the next line and run the script.
    # Then, comment it out again and run the script normally.
    # import nltk
    # nltk.download('punkt')
    # nltk.download('averaged_perceptron_tagger')
    # nltk.download('brown') # Needed for some TextBlob features
    # nltk.download('wordnet') # Needed for WordNetLemmatizer
    # nltk.download('movie_reviews') # Example corpus used by TextBlob
    # nltk.download('stopwords') # If you plan to use stopword removal
    # Or simply run: python -m textblob.download_corpora in your terminal
    
    # It's better to run this in terminal: python -m textblob.download_corpora
    
    window = SentimentApp()
    window.show()
    sys.exit(app.exec_())

پس از اجرای کد بالا تصویر زیر را میبینید .

برای دانلود همین پایتون یا فایل تبدیل شده به برنامه روی نوشته لینک بزنید و 15ثانیه صبر کنید و فایل را دریافت کنید .

اینم از این پروژه اگر ایده یا پروژه ای دارید در نظرت بنویسید.