Paper Title

Analysis of Emotional Model on Tweets Using Data Mining

Article Identifiers

Registration ID: IJNRD_184989

Published ID: IJNRD2212168

DOI: Click Here to Get

Authors

M.Priyadharshan , B.Gayathri

Keywords

Twitter Data, Sentiment Analysis, Attention based Bidirectional LSTM, BERT, Deep Learning

Abstract

This approach gives an advanced alternative to the existing Sentiment analysis models. Emotional Models are a bit trickier than the traditional Sentiment Models as they analyze human emotions by identifying the context of a text, which is different from a Sentiment Model where only the polarity of the text is calculated and the prediction is either positive or negative. The Model requires a huge dictionary of lexicons which points to different emotions. This can be used to analyze a text based on the lexicons that belong to a particular human emotion. The words in the text are embedded with low dimensional vectors, which makes it easier to use in the Neural Network Models. The purpose of emotional analysis is to identify the sentiment of a given text. In general, emotional analysis can predict emotions such as anger, happiness, surprise, sadness and so on. The classification of the emotions can only be achieved through psychological models that define human emotions in terms of mathematical values. Emotion Models are built based on Natural Language Processing and Text Analysis using Deep Learning Techniques. Tweet Analysis helps in classifying data about a specific brand or a product and its interest among the users.

How To Cite

"Analysis of Emotional Model on Tweets Using Data Mining", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 12, page no.b577-b581, December-2022, Available :https://ijnrd.org/papers/IJNRD2212168.pdf

Issue

Volume 7 Issue 12, December-2022

Pages : b577-b581

Other Publication Details

Paper Reg. ID: IJNRD_184989

Published Paper Id: IJNRD2212168

Downloads: 000121149

Research Area: Engineering

Country: Coimbatore, Taminadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2212168.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2212168

About Publisher

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

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

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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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Frequency: Monthly (12 issue Annually).

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