The Emotional Landscape of Language: Exploring English and Turkish Sentiment with LSTMs and Diverse ML Architectures

Author(s)	Shreya Alajangi
Country	India
Abstract	Emotion detection from text has gained significant attention in recent years due to its potential applications in various fields, such as customer sentiment analysis, mental health monitoring, and human-computer interaction. This report explores the development and evaluation of emotion detection models for both English and Turkish languages
Keywords	Emotion Detection, Natural Language Processing, Text Analysis, English Language, Turkish Language, Machine Learning, Deep Learning.
Field	Engineering
Published In	Volume 7, Issue 1, January-February 2025
Published On	2025-02-13
Cite This	The Emotional Landscape of Language: Exploring English and Turkish Sentiment with LSTMs and Diverse ML Architectures - Shreya Alajangi - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.36847
DOI	https://doi.org/10.36948/ijfmr.2025.v07i01.36847
Short DOI	https://doi.org/g84xhz

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International Journal For Multidisciplinary Research