Contextual Emotion Classification in Text Using Hybrid Word2Vec-BiLSTM: Deep Learning Approach - Softcover

Sivasrinu, Nilla; Duvvuri, Suneel Kumar

Softcover

ISBN 10: 6209879535 ISBN 13: 9786209879531

Verlag: LAP LAMBERT Academic Publishing, 2026

Inhaltsangabe

In the modern digital era, human communication has shifted significantly toward unstructured text found on social media, micro-blogs, and instant messaging platforms. While traditional face-to-face interactions rely on non-verbal cues like facial expressions and vocal tone, digital text lacks these signals, making the detection of emotional intent a complex challenge for Natural Language Processing (NLP). This study addresses the limitations of traditional machine learning methods, such as Naïve Bayes and Logistic Regression, which often fail to capture contextual meaning and long-range sequential dependencies. The proposed research introduces a hybrid deep learning framework that integrates Word2Vec(Continuous Bag-of-Words) embeddings with a Bidirectional Long Short-Term Memory (BiLSTM) network. Word2Vec is utilized to extract dense semantic features, enabling the model to understand mathematical relationships between words.

Über diesen Titel

Über die Autorin bzw. den Autor

Mr. Nilla Sivasrinu is pursuing M.Sc. Computer Science at Government College (Autonomous), Rajahmundry. He carried out his dissertation under the guidance of Dr. Suneel Kumar Duvvuri on the topic "Advanced Deep Learning Models for Emotions Detection".

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 6209879535
• ISBN 13: 9786209879531
• Einband: Taschenbuch
• Anzahl der Seiten: 116
• Kontakt zum Hersteller: Fastbook Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland