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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19482
Article Published : 8050
Total Authors : 21282
Total Reviewer : 770
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| Paper Title: | CLASSIFICATION OF POETRY TEXT INTO EMOTIONAL STATES |
| Authors Name: | A.Sharmila , D.Sunil , A.Sri Sushma , B.Sai Teja , G.Ramya |
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IJRTI_187558
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| Published Paper Id: | IJRTI2307073 |
| Published In: | Volume 8 Issue 7, July-2023 |
| DOI: | |
| Abstract: | Poetry is widely regarded as a genre in which semantic and formal components of language are interrelated in a particular meaningful way. Emotion classification from poetry or formal texts has received less attention by the experts of computational intelligence in recent times . Most of the work has been carried out on classifying emotions from informal text such as chat, sms, email and online user reviews. Previously it used data mining algorithms. In this, an emotional state classification system for the text is using the latest technology of artificial intelligence, called deep learning. For this we are using an attention based Bi-LSTM(Bidirectional-long short term memory) model which is a sequence processing model that consists of two LSTMs, along with a gated recurrent unit (GRU) which uses gates to control the flow of information that will be implemented on the text corpus. The main aim of the objective is to classify the text into different emotional states like joy, fear, sadness and anger. |
| Keywords: | Deep Learning, Emotion Recognition, Text, Attention-based Bi-LSTM, Emotional States |
| Cite Article: | "CLASSIFICATION OF POETRY TEXT INTO EMOTIONAL STATES", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.497 - 505, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307073.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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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Published Paper ID: IJRTI2307073
Registration ID:187558
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 497 - 505 Country: Vizianagaram, Andhra Pradesh, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2307073 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2307073 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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