Work

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

Year: 2025

Type: article

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

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2025.v07i01.36847

Author: Shreya Alajangi -

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4407530715

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