example of how to preprocess conversations

preprocess_conversations.py

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+import csv
+
+# Open sexting_conversations.txt and read all lines
+with open('sexting_conversations.txt', 'r', encoding='utf-8') as f:
+    lines = f.readlines()
+
+# Initialize variables
+data = []
+text = ""
+char_count = 0
+
+# Loop through each line in the file
+for line in lines:
+    # Increase character count
+    char_count += len(line)
+    # Add line to text
+    text += line
+    # 92 is the avg character length per line multiplied by 2
+    if char_count >= 92:
+        # Add text to data array with is_toxic value of 1
+        data.append([text.strip(), 1])
+        # Reset text and character count
+        text = ""
+        char_count = 0
+
+# If there is any remaining text, add it to data array with is_toxic value of 1
+if text:
+    data.append([text.strip(), 1])
+
+# Save data array to CSV with column "text,is_toxic"
+with open('output.csv', 'w', newline='', encoding='utf-8') as f:
+    writer = csv.writer(f)
+    writer.writerow(['text', 'is_toxic'])
+    writer.writerows(data)