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The Review of Natural Language Processing Applications with Emphasis on Machine Learning Implementations

Tatwadarshi P. Nagarhalli, Sneha Mhatre, Sanket Patil, Prafulla D. Patil

20222022 International Conference on Electronics and Renewable Systems (ICEARS)16 citationsDOI

Abstract

There is a renewed interest in the recent times for research and development in the field and subfield of Artificial Intelligence, and this is especially true for Machine Learning and Natural Language Processing. With its ability to make predictions by relying on the data rather than any explicit instructions Machine Learning and Deep Learning Techniques have been employed and adapted in many fields of study and businesses with great success of the different areas which have been revolutionised by the implementation of Machine Learning and Deep Learning Techniques, Natural Language Processing is one such field of study which has benefited the most by this adaptation of learning techniques. Not only in processing of natural language, the learning techniques have played a very positive role in the different applications of Natural Language Processing as well. The paper proposes to highlight the important role played by the learning technique in improving the accuracy of the different applications of Natural Language Processing.

Topics & Concepts

Computer scienceArtificial intelligenceField (mathematics)ImplementationAdaptation (eye)Deep learningNatural (archaeology)Machine learningNatural languageNatural language programmingNatural language processingUniversal Networking LanguageSoftware engineeringComprehension approachPsychologyNeurosciencePure mathematicsArchaeologyHistoryMathematicsTime Series Analysis and ForecastingCurrency Recognition and DetectionAnomaly Detection Techniques and Applications
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