The emergence of ChatGPT, a sophisticated language model developed by OpenAI, has revolutionized the fields of artificial intelligence (AI) and natural language processing (NLP). This study offers a comprehensive overview of current research directions related to ChatGPT, analyzing its applications, challenges, and prospects. This most up-to-date study extracts and analyzes keywords and abstracts from 7,455 research articles in the Scopus database, providing a thorough overview through text mining techniques. The evaluation, conducted through descriptive statistical analysis involving keyword frequency, co-occurrence, and related metrics, highlights the current research issues, indicating efficacy evaluation remains an ongoing area of investigation. Particular concerns are placed on the application of ChatGPT in education and healthcare, as well as its accuracy in computational tasks. Distinct from previous studies, this research extends the findings by classifying the overarching impact of ChatGPT across all fields, leveraging deep learning algorithms through Generative Artificial Intelligence (Gen AI), utilizing BERT Base Multilingual Uncased for sentiment analysis. Concurrently, it contrasts these results with those obtained from traditional analysis using the Vader Lexicon machine learning approach, revealing a consistent and overwhelmingly positive impact that significantly outweighs negative biases. The metrics evaluation using Gen AI and machine learning shows good performance. The findings further suggest that Gen AI opens more promising avenues for evaluating documents, specifically, and natural language processing more broadly.