nlpkwords 0.1.0

A package containing AI/ML codes

NLPKWords

A Python package containing implementations of various AI/ML algorithms and NLP techniques for educational purposes.

Features

• NLP Processing

  • Tokenization
  • Lemmatization
  • Bag of Words
  • TF-IDF
  • One-Hot Encoding

• Neural Networks

  • Sigmoid Activation
  • ReLU Activation
  • Tanh Activation
  • Simple MLP Implementation

• Graph Algorithms

  • BFS (Breadth-First Search)
  • DFS (Depth-First Search)
  • A* Search Algorithm
  • Best-First Search

• Fuzzy Logic

  • Fuzzy Set Operations
  • Complement Operations
  • Union and Intersection

• Game Theory

  • Nim Game Implementation

Installation

pip install nlpkwords

Usage

NLP Processing

from nlpkwords import tokenization, lemmatization

# Tokenization
tokens = tokenization.tokenize("Your text here")

# Lemmatization
lemmas = lemmatization.lemmatize("Your text here")

Neural Networks

from nlpkwords import sigmoid, relu, tanh

# Using different activation functions
output = sigmoid.forward(input_data)
output = relu.forward(input_data)
output = tanh.forward(input_data)

Graph Algorithms

from nlpkwords import bfs, dfs_recursive

# BFS Traversal
bfs.traverse(graph, start_node)

# DFS Traversal
dfs_recursive.traverse(graph, start_node)

Requirements

• Python >= 3.6
• pandas >= 1.3.0
• nltk >= 3.6.0
• textblob >= 0.15.3
• scikit-learn >= 0.24.0
• numpy >= 1.20.0

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Rish Dias - [e-mail]

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.