NLTK vs OpenVINO: What are the differences?

# Introduction
NLTK (Natural Language Toolkit) and OpenVINO are two popular tools used in different domains. Below are the key differences between them.

1. **Purpose**: NLTK is primarily used for natural language processing tasks such as tokenization, stemming, tagging, parsing, and semantic reasoning. On the other hand, OpenVINO is designed for optimizing and deploying deep learning models on various hardware platforms with a focus on computer vision applications.
   
2. **Language Support**: NLTK provides support for a wide range of languages including English, Arabic, Chinese, and many others. It offers various language processing modules and datasets. In contrast, OpenVINO focuses on computer vision tasks and supports frameworks like TensorFlow, Caffe, and ONNX primarily for developing visual recognition models.
  
3. **Community and Documentation**: NLTK has a large community of developers and researchers contributing to its continuous improvement and maintenance. The toolkit has extensive documentation and tutorials for beginners to advanced users. In comparison, OpenVINO also has an active community but with a stronger emphasis on computer vision applications and hardware acceleration.
  
4. **Development Environment**: NLTK is implemented in Python and provides a set of tools and libraries for processing textual data efficiently. It can be easily integrated with other Python libraries for machine learning and data analysis tasks. On the contrary, OpenVINO offers a set of optimized tools and libraries for deploying and running deep learning models on Intel hardware with support for C, C++, and Python programming languages.

5. **Performance and Efficiency**: NLTK focuses on natural language processing tasks and may not be optimized for running deep learning models efficiently on hardware accelerators. OpenVINO, on the other hand, is specifically designed for optimizing and accelerating the inference process of deep learning models on Intel hardware, leading to better performance and efficiency in computer vision applications.

6. **Deployment and Compatibility**: NLTK is a software library that can be installed on various platforms and operating systems, making it suitable for a wide range of applications. OpenVINO, however, is optimized for Intel hardware platforms and provides tools for converting and deploying models to run efficiently on Intel processors, GPUs, FPGAs, and VPUs.

In Summary, NLTK is geared towards natural language processing tasks with support for various languages, while OpenVINO focuses on optimizing and deploying deep learning models for computer vision applications on Intel hardware platforms.