Generator Hashtag dari Teks
Menghasilkan hashtag yang relevan secara otomatis dari teks apa pun. Mengekstrak kata kunci dengan analisis frekuensi.
Pertanyaan yang Sering Diajukan
Implementasi Kode
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.