Livoa LogoLivoa

Raw Social Media Comments

Data Preprocessing Pipeline
Clean, Normalized Text Standardized Input Features


Input Layer GloVe Embeddings (300D)

Bidirectional LSTM 2 Layers, 128 Units

Dense Layer 64 Units - Dropout (0.5)

Output Layer 3 Units, Softmax


Tokenizer WordPiece

Transformer Encoder 6 Layers, 768 Hidden Dim

Pooling [CLS] Token
Classifier 3 Units, Softmax


Tokenizer Byte-Pair Encoding

Transformer Encoder 12 Layers, 768 Hidden Dim

Pooling [CLS] Token

Classifier 3 Units, Softmax

Prediction Output

Positive / Negative / Neutral


Accuracy

Precision

Recall

F1-Score

Confusion Matrix

Statistical Analysis

LSTM

DistilBERT

Pooling [CLS] Token

Classifier 3 Units, Softmax

RoBERTa

Comprehensive Analysis

methodology

by nahida

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