🟣 ML + AI · Lesson 65
Natural Language Processing (NLP) Basics
NLP Basics क्या है?
NLP Basics ka matlab hai: NLP helps computers understand and process human language such as text, speech and documents. Simple words me, ye topic practical Python programs likhne me direct use hota hai.
Is topic ko sirf definition ke liye nahi, balki processing text jaise real examples ke liye practice karein.
यह क्यों सीखना जरूरी है?
- Ye processing text me kaam aata hai.
- Ye sentiment analysis se bhi connected hai.
- Isse aap code ka output aur errors better samajh paate hain.
Important Terms
| Term | Meaning |
|---|---|
| tokenization | Breaking text into words or smaller units. |
| text cleaning | Removing unwanted characters and standardizing text. |
| stop words | Common words often removed in NLP, such as is, the, and. |
| vectorization | Performing operations on whole arrays without Python loops. |
| sentiment | Emotion or opinion expressed in text. |
Syntax / Basic Pattern
Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.
Basic Pattern
text = "Python is powerful and easy to learn"
words = text.lower().split()
print(words)
print("Total words:", len(words))Complete Example Program
Python – nlp-basics.py
text = "Python is powerful and easy to learn"
words = text.lower().split()
print(words)
print("Total words:", len(words))Expected Output
['python', 'is', 'powerful', 'and', 'easy', 'to', 'learn']
Total words: 7
Program Explanation
text = "Python is powerful and easy to learn"stores a value in text.words = text.lower().split()stores a value in words.print(words)displays information or calculated result on the screen.print("Total words:", len(words))displays information or calculated result on the screen.
Practical Uses
- Processing text.
- Sentiment analysis.
- Text classification.
Common Mistakes
- Training and testing the model on the same data.
- Using an algorithm without understanding the input features.
- Reporting only accuracy without checking actual mistakes and limitations.
Practice Tasks
- Program ko
nlp-basics.pyfile me type karke run karein. - Values change karke output compare karein.
- processing text par ek छोटा example banayen.
- Logic ko apne words me 5 lines me likhein.
सारांश
Natural Language Processing Basics ko tab complete maanenge jab aap iska meaning, example, output aur practical use clearly explain kar saken.
💻 लाइव कोड एडिटर
इस पेज के प्रोग्राम यहीं तैयार हैं — चलाएँ, बदलें और सीखें। कुछ भी इंस्टॉल किए बिना।
OneCompiler द्वारा संचालित। कोड एडिटर में अपने आप आ जाता है — Run दबाकर आउटपुट देखें। अगर एडिटर न खुले तो नए टैब में खोलें.