My NLP Package

📖 Description

A simple NLP package for text preprocessing in Python. It includes:

• Sentence Splitting
• Word Splitting
• Stopword Removal
• Special Character & Punctuation Removal
• N-Grams
• Word Counting
• Bag of Words Model

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🚀 Installation

Clone the repository:

git clone https://github.com/StrangeVlad/NLP_Package_Python.git
cd my_nlp_package

Then install it using:

pip install -e .

⚡ Usage

Importing the package

from my_nlp.preprocessing import splitSentence, removeStopWords

text = "I love coding! NLP is awesome."
sentences = splitSentence(text, ['!', '.'])
print(sentences)  # ['I love coding', 'NLP is awesome']

words = ["I", "love", "coding"]
filtered_words = removeStopWords(words, ["I"])
print(filtered_words)  # ['love', 'coding']

🛠 Features

1️⃣ Split Sentence

splitSentence("Hello world. Python is fun!", ["."])
# Output: ['Hello world', 'Python is fun!']

2️⃣ Split Words

splitWords(["Hello world"])
# Output: ['Hello', 'world']

3️⃣ Remove Stopwords

removeStopWords(["I", "love", "coding"], ["I"])
# Output: ['love', 'coding']

4️⃣ Remove Special Characters

removeSpecialCharactersPunctuation(["lo$$ve", "code!", "play????ing"], ["$", "!", "?"])
# Output: ['love', 'code', 'playing']

5️⃣ Generate N-Grams

nGrams(["love", "coding", "NLP"], 2)
# Output: [('love', 'coding'), ('coding', 'NLP')]

6️⃣ Word Counting

wordCounting(["love", "coding", "love"])
# Output: {'love': 2, 'coding': 1}

7️⃣ Bag of Words

bagOfWords([["I", "love", "coding"], ["coding", "is", "fun"]])
# Output: Vocabulary: ['I', 'coding', 'fun', 'is', 'love']

Bag of Words Matrix:

• [1, 1, 0, 0, 1]

• [0, 1, 1, 1, 0]

📜 License

This project is licensed under the MIT License.

🤝 Contributing

Feel free to contribute by submitting pull requests or opening issues.

📩 Contact

For any questions or feedback, contact me at mounir.zagane@gmail.com.