Sentiment analysis mongodb only positive negative

from pymongo import MongoClient, errors
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

# MongoDB connection settings
mongo_uri = "mongodb://localhost:27017/"
database_name = "twitter_database"
source_collection_name = "tweets"

def get_text_from_doc(doc):
    """
    Extracts the text from the document.
    Returns the text if available, otherwise returns None.
    """
    text = doc.get("json_data", {}).get("text")
    if text:
        return text
    extended_text = doc.get("json_data", {}).get("extended_tweet", {}).get("full_text")
    return extended_text

def analyze_sentiment(text):
    """
    Analyzes the sentiment of the given text using VADER.
    Returns the compound sentiment score.
    """
    analyzer = SentimentIntensityAnalyzer()
    sentiment = analyzer.polarity_scores(text)
    return sentiment['compound']

try:
    client = MongoClient(mongo_uri, serverSelectionTimeoutMS=5000)
    db = client[database_name]
    source_collection = db[source_collection_name]

    cursor = source_collection.find()  # Limit to only 20 tweets

    for doc in cursor:
        text = get_text_from_doc(doc)
        if text:
            compound_score = analyze_sentiment(text)
            print("Compound Sentiment Score:", compound_score)
            print()

except errors.ServerSelectionTimeoutError as err:
    print("Failed to connect to MongoDB server:", err)
except errors.PyMongoError as err:
    print("An error occurred while working with MongoDB:", err)
finally:
    client.close()