 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19457
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| 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 |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_188302
|
| Published Paper Id: | IJRTI2310107 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | |
| 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 |
| Downloads: | 000205103 |
| 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 |
| Publication Details: |
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 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||