Evaluate the performance of TCN and Ensemble-based models using Word2Vec to your common deep learning architectures

A. Introduction

• A.1. Background & Motivation
• A.2. Objectives

B. Experiment

• B.1. Datasets
• B.2. The Proposed Models
• B.2.1. Temporal Convolutional Network (TCN)
• B.2.2. Ensemble CNN-GRU
• B.2.3. Other Models
• B.2.4. The Models Summary with their Feature Extractions

C. Evaluation

• C.1. Results
• C.2. Discussion
• C.2.1. BoW vs. Word Embedding
• C.2.2. Random vs. Static vs. Dynamic
• C.2.3. TCN vs. RNN Model
• C.2.4. Ensemble vs. Single Model
• C.2.5. The Best Performing Models

D. Conclusions and Future Work

• D.1. Conclusions
• D.2. Recommendation in Future Work

#tcn #text-classification #ensemble-learning #deep-learning