Paper Title
WhatsApp Chat Analysis and Deployment on Heroku
Article Identifiers
Authors
Chandani Sanjay Shinde , Arpita Vishwanath Dakhore , Mrs.P.S. Bihade
Keywords
WhatsApp, Chat Analysis, Natural Language Processing, Heroku Deployment, Sentiment Analysis, Topic Modeling, Text Summarization, Data Privacy, Data Handling, Cloud Computing, User Interface.
Abstract
In the digital age, communication via instant messaging platforms has become ubiquitous, and WhatsApp stands as one of themost popular platforms worldwide. This research paper presents an end-to-end project that encompasses the collection, analysis,and deployment of WhatsApp chat data using the Heroku cloud platform. The project integrates state-of-the-art (NLP) natural language processing techniques to derive valuable insights from chat conversations. This innovative project bridges the gap between the digital realm and data-driven decision-making.The Heroku cloud platform's deployment ensures accessibility, making these insights readily available to all.
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How To Cite (APA)
Chandani Sanjay Shinde, Arpita Vishwanath Dakhore, & Mrs.P.S. Bihade (November-2023). WhatsApp Chat Analysis and Deployment on Heroku. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), d587-d595. https://ijnrd.org/papers/IJNRD2311365.pdf
Issue
Volume 8 Issue 11, November-2023
Pages : d587-d595
Other Publication Details
Paper Reg. ID: IJNRD_209942
Published Paper Id: IJNRD2311365
Downloads: 000121982
Research Area: Computer EngineeringÂ
Country: Nanded, Maharashtra (MH), India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2311365.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311365
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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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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