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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
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| Paper Title: | Emotion Classifier By Text Classification And Real Time Detection |
| Authors Name: | Dodla Sai Dattu , Mr. Vigneshkumar M , Ch. Jaya Venkateswara Rao , D. Krishna Mohan , C.Sanjeev Kishore Reddy |
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IJRTI_188302
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| Published Paper Id: | IJRTI2310107 |
| Published In: | Volume 8 Issue 10, October-2023 |
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| Abstract: | Emotion classification through text analysis is an essential task in natural language processing and sentiment analysis. This paper presents an innovative approach to building an Emotion Classifier using text classification techniques. Emotions are complex and multifaceted human experiences, making their automatic recognition from text a challenging problem. The proposed system leverages state-of-the-art machine learning algorithms, including deep learning models, to classify text documents into a set of predefined emotional categories. The core of approach involves preprocessing the text data, including tokenization, text normalization, and feature extraction. Exploring various text representation methods, such as Bag of Words (BOW) and word embeddings, to transform the text into numerical feature vectors. These vectors are then used as input to train and evaluate different classification algorithms, including support vector machines, decision trees and neural networks. Due to the rapid development of the internet era, social networking systems have evolved into a significant tool for communicating sentiments to the entire globe. Numerous people express their feelings or opinions using text, images, audio, and video. However, text-based communication via internet-based social networking platforms is particularly overwhelming. Due to social media systems, a significant volume of unstructured information is produced on the internet every second. Sentiment analysis, which detects polarity in texts, may be used to analyses the data as quickly as it is created to recognize human psychology. It determines if the author has a negative, favorable, or neutral attitude towards product management. |
| Keywords: | emotion classifier, face emotion detection, nltk, opencv, text analyzing, text preprocessing. |
| Cite Article: | "Emotion Classifier By Text Classification And Real Time Detection", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 10, page no.796 - 803, October-2023, Available :http://www.ijrti.org/papers/IJRTI2310107.pdf |
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| ISSN: |
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: IJRTI2310107
Registration ID:188302
Published In: Volume 8 Issue 10, October-2023
DOI (Digital Object Identifier):
Page No: 796 - 803 Country: virudhunagar, tamilnadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2310107 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2310107 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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