Paper Title
Semantic Analysis in Android Applications
Article Identifiers
Authors
Sejal Shitole , Nishant Sawant , Rubal Gajbhiye , Anurag Jarande , Prof. Mrs. Ashwini Bhamre
Keywords
NLP, sentiments, personalized recommendations, highlight aspects
Abstract
Semantic analysis is increasingly recognized for its potential to enhance user experiences in mobile applications by providing deeper insights into textual data. This paper explores the integration of semantic analysis into a trekking Android application to analyze user reviews. By leveraging advanced Natural Language Processing (NLP) techniques, the application can automatically interpret and categorize user feedback, identifying common themes, sentiments, and specific concerns. This capability enables the app to provide personalized recommendations for trekking routes, equipment, and services based on aggregated user sentiments. Furthermore, semantic analysis helps in highlighting the most frequently mentioned positive and negative aspects of different trekking experiences, thereby aiding new users in making informed decisions. This approach not only improves the relevance and accuracy of recommendations but also enhances overall user satisfaction by addressing specific needs and preferences. The implementation of semantic analysis in the trekking application demonstrates a significant advancement in how user-generated content can be utilized to create a more engaging and user-centric platform.
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How To Cite (APA)
Sejal Shitole, Nishant Sawant, Rubal Gajbhiye, Anurag Jarande, & Prof. Mrs. Ashwini Bhamre (June-2024). Semantic Analysis in Android Applications. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), c510-c515. https://ijnrd.org/papers/IJNRD2406251.pdf
Issue
Volume 9 Issue 6, June-2024
Pages : c510-c515
Other Publication Details
Paper Reg. ID: IJNRD_222395
Published Paper Id: IJNRD2406251
Downloads: 000121981
Research Area: Engineering
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2406251.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406251
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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