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Software testing is the practice of assessing and confirming that a software product or application adheres to the specified standards and is free of defects. This process includes two main aspects: verification, which checks that the product is constructed correctly, and validation, which confirms that the product built aligns with user requirements. Enhancing the quality, reliability, and performance of software is essential for successful software development. What is Software Testing? Software testing is done to evaluate a software application or system to identify defects, errors, or potential issues before it is released to the end-users. The primary goal of software testing is to ensure that the software meets the specified requirements, is functional, reliable, and performs as expected. Why Software Testing? Software testing is crucial in the development process for several compelling reasons. It not only identifies defects early, which prevents costly errors later, but it also

  Natural Language Processing (NLP) is a field of computer science and artificial intelligence concerned with enabling computers to understand, interpret, and generate human language. It is one of the most exciting and rapidly advancing areas of technology, with numerous applications across various industries, including healthcare, finance, and customer service. NLP techniques are used to perform a wide range of tasks, such as sentiment analysis, text classification, machine translation, and summarization. For example, sentiment analysis can be used to determine the sentiment behind a customer's review of a product or service, while machine translation can be used to automatically translate a document from one language to another. One of the key challenges in NLP is understanding the meaning of human language, which is often ambiguous and context-dependent. To address this challenge, NLP relies on a combination of rule-based methods and machine learning algorithms to analyze and pr