A Literature Review on Natural Language Processing (NLP) in Aiding Industry to Progress
A Literature Review on Natural Language Processing (NLP) in Aiding Industry to Progress |
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| © 2024 by IJETT Journal | ||
| Volume-72 Issue-2 |
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| Year of Publication : 2024 | ||
| Author : Chester L. Cofino, Ryan B. Escorial, Debbie Lou B. Enquilino |
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| DOI : 10.14445/22315381/IJETT-V72I2P105 | ||
How to Cite?
Chester L. Cofino, Ryan B. Escorial, Debbie Lou B. Enquilino, "A Literature Review on Natural Language Processing (NLP) in Aiding Industry to Progress," International Journal of Engineering Trends and Technology, vol. 72, no. 2, pp. 41-46, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I2P105
Abstract
The study of artificial intelligence (AI) is a rapidly developing topic that has expanded into several corporate and academic fields. Artificial intelligence (AI) encompasses machine learning, deep learning, and Natural Language Processing (NLP) to handle many data processing and modeling elements. Researchers have collected data from studies on a wide range of topics about Artificial Intelligence (AI), specifically Natural Language Processing (NLP). The goal of this study is to identify possible topics about the adaption of NLP in aiding the industry to improve, summarize the trend of topics, and interpret the evolution of topics within the last 5 years. This review article gives a general summary of the effects of AI on several uses in a variety of industries while also highlighting available opportunities in the fields of education, law in practice, health, finance, marketing, and social sciences. As AI and NLP continue to advance, we can expect to see even more innovative applications in various industries and fields, ultimately transforming how we live, work, and interact with the world. However, with the increasing use of AI and NLP, it is important to consider ethical and privacy concerns and ensure these technologies are used responsibly and ethically. Within the more than 5,000 articles published between 2018 and 2023, we identified 33 topics.
Keywords
Artificial Intelligence (AI), Natural Language Processing (NLP), Intelligent Machines, Ethical Practices, Literature Review.
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