To sustain and stay at the top of the market and give absolute
comfort to the consumers, industries are using different strategies
and technologies. Natural language processing (NLP) is a technology
widely penetrating the market, irrespective of the industry and
domains. It is extensively applied in businesses today, and it is
the buzzword in every engineer's life. NLP can be implemented in
all those areas where artificial intelligence is applicable either
by simplifying the communication process or by refining and
analyzing information. Neural machine translation has improved the
imitation of professional translations over the years. When applied
in neural machine translation, NLP helps educate neural machine
networks. This can be used by industries to translate low-impact
content including emails, regulatory texts, etc. Such machine
translation tools speed up communication with partners while
enriching other business interactions. Deep Natural Language
Processing and AI Applications for Industry 5.0 provides innovative
research on the latest findings, ideas, and applications in fields
of interest that fall under the scope of NLP including
computational linguistics, deep NLP, web analysis, sentiments
analysis for business, and industry perspective. This book covers a
wide range of topics such as deep learning, deepfakes, text mining,
blockchain technology, and more, making it a crucial text for
anyone interested in NLP and artificial intelligence, including
academicians, researchers, professionals, industry experts,
business analysts, data scientists, data analysts, healthcare
system designers, intelligent system designers, practitioners, and
students.
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