SENTIMENT CLASSIFICATION ACROSS MULTIPLE SOURCES USING AN INTEGRATED POLARITY-SCORE BASED EMBEDDING IN DEEP LEARNING MODEL

SENTIMENT CLASSIFICATION ACROSS MULTIPLE SOURCES USING AN INTEGRATED POLARITY-SCORE BASED EMBEDDING IN DEEP LEARNING MODEL

Registration ID: IJNRD_197515

Published ID: IJNRD2305918

DOI: http://doi.one/10.1729/Journal.34906

PARVATI KADLI , Dr. VIDYAVATHI B M

Convolutional neural network; cross-domain data; sentiment analysis; social media; Facebook; Twitter; Amazon; Tripadvisor.

The increasing prevalence of the Internet and the advent of Web 2.0 have led to a heightened focus on sentiment analysis of freely expressed opinions in different social media platforms. Sentiment analysis plays significant role in various applications such as review-based product recommendations and opinion mining. This study presents cross-domain-labeled Web sources (Amazon and Tripadvisor) in a unique cross-source cross-domain sentiment categorization approach. We propose a novel architecture named the Deep Learned Model with Integrated binary embedding. This model combines the strengths of Bidirectional Long-Short Term Memory (Bi-LSTM), Bi-Gated Recurrent Unit (GRU), and Convolutional Neural Network (CNN).. The proposed approach achieves an accuracy of over 80% in sentiment analysis of Facebook and Twitter datasets

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"SENTIMENT CLASSIFICATION ACROSS MULTIPLE SOURCES USING AN INTEGRATED POLARITY-SCORE BASED EMBEDDING IN DEEP LEARNING MODEL", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.j19-j31, May-2023, Available :https://ijnrd.org/papers/IJNRD2305918.pdf

Volume 8 Issue 5, May-2023

Pages : j19-j31

Paper Reg. ID: IJNRD_197515

Published Paper Id: IJNRD2305918

Downloads: 000121193

Research Area: Computer Science & Technology 

Country: HOSPET, VIJANAGARA DISTRICT, KARNATAKA, INDIA

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305918.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305918

DOI: http://doi.one/10.1729/Journal.34906

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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