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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
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Emotion Detection Sentiment Analysis Using Large Language Model |
| Authors Name: | Asritha Kunapareddy , Vasavi Konakalla , Ramu Kurella , Repalle Jyothi Sravan |
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IJRTI_202138
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| Published Paper Id: | IJRTI2504090 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | One natural language process in method for figuring out the sentiment or emotional tone of textual data is sentiment analysis, sometimes referred to as opinion mining. Building a machine learning based sentiment analysis system to categorize text into positive, negative, and neutral categories is the main goal of this project. To clean and organize the data, the system uses sophisticated preprocessing methods like tokenization, stop word removal and lemmatization on a labelled dataset of text. Word embeddings or techniques like TF-IDF are used to transform textual data into numerical representations for feature extraction. The processed data is used to train deep learning techniques like Long Short-Term Memory or machine learning algorithms like Naive Bayes and Logistic Regression to find sentiment patterns. The results demonstrate the effectiveness of machine learning in sentiment analysis and its potential applications in areas like social media monitoring, customer feedback analysis, and market research. This project highlights the significance of sentiment analysis as a tool for understanding and interpreting the emotional tone of textual data. |
| Keywords: | Machine Learning, Sentiment Analysis, Natural Language Processing (NLP), Opinion Mining, Emotional tone, Positive, Negative and Neutral Categories . |
| Cite Article: | "Emotion Detection Sentiment Analysis Using Large Language Model ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a722-a727, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504090.pdf |
| Downloads: | 000287 |
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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: IJRTI2504090
Registration ID:202138
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a722-a727 Country: Vijayawada, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504090 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504090 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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