Generatore di Hashtag da Testo
Genera automaticamente hashtag pertinenti da qualsiasi testo. Estrae parole chiave con analisi della frequenza.
Domande Frequenti
Implementazione del Codice
import re
from collections import Counter
STOP_WORDS = {
"a","an","the","and","or","but","in","on","at","to","for","of","with",
"by","from","is","are","was","were","be","been","have","has","had",
"do","does","did","will","would","could","should","this","that","it",
"i","you","he","she","we","they","not","so","if","as","up","out",
"about","into","just","also","get","make","go","come","see","use"
}
def generate_hashtags(text, min_length=3, max_count=20, remove_stop=True):
words = re.findall(r"[a-z0-9']+", text.lower())
cleaned = [w.strip("'") for w in words if len(w.strip("'")) >= min_length]
if remove_stop:
cleaned = [w for w in cleaned if w not in STOP_WORDS]
freq = Counter(cleaned)
top = freq.most_common(max_count)
return [f"#{word}" for word, _ in top]
text = """Machine learning is transforming the software industry.
AI tools help developers write better code faster and improve productivity."""
hashtags = generate_hashtags(text)
print(" ".join(hashtags))Comments & Feedback
Comments are powered by Giscus. Sign in with GitHub to leave a comment.