• Natural Language Processing (NLP) is an interdisciplinary field at the intersection of artificial intelligence (AI), computer science, and linguistics. It focuses on the interaction between computers and humans through natural language. The primary goal of NLP is to enable machines to understand, interpret, and generate human language in a way that is both meaningful and useful.The rise of big data, coupled with advances in machine learning and deep learning, has driven rapid progress in NLP. Many real-world applications, such as virtual assistants (e.g., Siri, Alexa), automated translation services (e.g., Google Translate), and sentiment analysis systems (e.g., social media monitoring), rely heavily on NLP techniques. These technologies are transforming industries by automating tasks like text classification, speech recognition, machine translation, and even creative writing.Natural Language Processing (NLP) is at the forefront of enabling machines to understand and interact with human language.
  
  Python, with its simplicity, versatility, and powerful libraries, has played a pivotal role in advancing the field of NLP. The contribution of NLP using Python spans across various industries, enabling significant innovations and improvements in the way we process and analyze textual and spoken information.

Software Tools and Technologies

• • Operating System: Ubuntu 18.04 LTS 64bit / Windows 10
• • Development Tools: Anaconda3 / Spyder 5.0 / Jupyter Notebook
• • Language Version: Python 3.11.1
• • Python ML Libraries: Scikit-Learn / Numpy / Pandas / Matplotlib / Seaborn.
• • Deep Learning Frameworks: Keras / TensorFlow / PyTorch.

List Of Final Year Python Projects in Natural Language Processing