A Review of the Literature on Natural Language Processing (NLP) to Promote Industry Advancement
Abhijeet Raj1, Mrs. Akanksha Mishra2, Susmita Sahani3, Mohit Sharma4, Priya Singh5
1 B. Tech Student Computer Science & Engineering, Kalinga University, Naya Raipur (C.G)
2 Asst Prof. Computer Science & Engineering, Kalinga University, Naya Raipur (C.G)
3 B. Tech Student Computer Science & Engineering, Kalinga University, Naya Raipur (C.G)
4 B. Tech Student Computer Science & Engineering, Kalinga University, Naya Raipur (C.G)
5 B. Tech Students Computer Science & Engineering, Kalinga University, Naya Raipur (C.G)
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Abstract:- Artificial intelligence (AI) research is a fast-growing discipline that has branched out into a number of business and academic domains. In order to handle various data processing and modeling tasks, artificial intelligence (AI) combines machine learning, deep learning, and natural language processing (NLP). Studies on a variety of subjects related to artificial intelligence (AI), particularly natural language processing (NLP), have yielded data that researchers have gathered. This study aims to describe the trends in themes and interpret the changes in topics over the previous five years, as well as identify potential topics about the application of NLP to help the industry better. This review article highlights prospects in the areas of education, health, finance, marketing, and social sciences while providing a broad overview of the effects of AI on several uses in a range of industries. We may anticipate seeing even more cutting-edge uses of AI and NLP across a variety of sectors and domains as these technologies develop, which will ultimately change the way we work, live, and engage with the outside world. But as AI and NLP are used more and more, it's critical to take privacy and ethical issues into account and make sure these technologies are applied sensibly and ethically. We found 33 subjects among the more than 5,000 articles that were published between 2018 and 2023.
Keywords: intelligent computers, natural language processing (NLP), artificial intelligence (AI), and ethical behavior.
