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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM37736

Virtual Assistance Using Natural Language Processing Techniques

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM37736

Volume:

8 |

9 |

Sep 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM37736

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AP

Aishwarya Patil

VS

Vrushali Shinde

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Abstract

These days, a virtual assistant is a piece of software that can communicate with people in natural language. Among the primary responsibilities of natural language processing in voice recognition, and artificial intelligence is dialogue modelling. Since the development of artificial intelligence, creating a competent virtual assistant has proven to be the most challenging task. Although they are multifunctional, their primary duty is to identify human speech and respond appropriately. Though there are now several Voice Assistant platforms accessible, there are still some challenges in constructing data-driven systems because creating them requires a significant quantity of data. Thus, it might be possible to implement these virtual assistants with the help of Python packages (such Flair, NLTK, SpaCy, Polyglot, and Textual Blobs).

KEYWORDS

Virtual Assistant Speech Recognition Computational Linguistics Machine Intelligence Multilingual

Cite This Article

Aishwarya Patil, Vrushali Shinde, "Virtual Assistance Using Natural Language Processing Techniques," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 9, Sep 2024. https://doi.org/10.55041/IJSREM37736

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Publication Date

9/30/2024

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The authors declare no conflict of interest related to this research work.

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