import nltk from nltk.sentiment.vader import SentimentIntensityAnalyzer
nltk.download('vader_lexicon')
def main(): # Initialize the SentimentIntensityAnalyzer sid = SentimentIntensityAnalyzer()
# Get input text from the user
text = input("Enter a sentence: ")
# Compute sentiment scores
scores = sid.polarity_scores(text)
# Determine the sentiment based on the compound score
if scores['compound'] >= 0.05:
sentiment = "positive"
elif scores['compound'] <= -0.05:
sentiment = "negative"
else:
sentiment = "neutral"
# Display the sentiment
print(f"Sentiment: {sentiment}")
if name == "main": main()START IF (Trigger event like Wi-Fi connected) THEN HTTP POST to https://api.github.com/repos/{owner}/{repo}/issues HEADERS: Authorization: token YOUR_GITHUB_TOKEN Content-Type: application/json BODY: { "title": "Automated Issue from Android", "body": "This issue was created automatically using Automate on Android." } IF (HTTP Response == 201) THEN Send notification "Issue Created Successfully!" ELSE Send notification "Issue Creation Failed!"import nltk from nltk.sentiment.vader import SentimentIntensityAnalyzer
nltk.download('vader_lexicon')
def main(): sid = SentimentIntensityAnalyzer() text = input("Enter a sentence: ")
scores = sid.polarity_scores(text)
if scores['compound'] >= 0.05: sentiment = "positive" elif scores['compound'] <= -0.05: sentiment = "negative" else: sentiment = "neutral"
print(f"Sentiment: {sentiment}") if name == "main": main()
π Hi, Iβm @DOUGLASDAVIS π Iβm interested in ... yarn add chatgpt && yarn install π± Iβm currently learning ... ποΈ Iβm looking to collaborate on ... π« How to reach me ... π Pronouns: ... β‘ Fun fact: ...START IF (Trigger event like Wi-Fi connected) THEN HTTP POST to https://api.github.com/repos/{owner}/{repo}/issues HEADERS: Authorization: token YOUR_GITHUB_TOKEN Content-Type: application/json BODY: { "title": "Automated Issue from Android", "body": "This issue was created automatically using Automate on Android." } IF (HTTP Response == 201) THEN Send notification "Issue Created Successfully!" ELSE Send notification "Issue Creation Failed!"import nltk from nltk.sentiment.vader import SentimentIntensityAnalyzer
nltk.download('vader_lexicon')
def main(): sid = SentimentIntensityAnalyzer() text = input("Enter a sentence: ")
scores = sid.polarity_scores(text)
if scores['compound'] >= 0.05:
sentiment = "positive"
elif scores['compound'] <= -0.05:
sentiment = "negative"
else:
sentiment = "neutral"
print(f"Sentiment: {sentiment}")
if name == "main": main()
- π Hi, Iβm @DOUGLASDAVIS
- π Iβm interested in ... yarn add chatgpt && yarn install
- π± Iβm currently learning ...that resonant frequency therapy has the potential to treat/cure every virus and disease that exists...β¨β¨β¨
- ποΈ Iβm looking to collaborate on ...
- π« How to reach me ...
- π Pronouns: ...
- β‘ Fun fact: ...