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Oppiskele Sentiment Analysis Model | Sentiment Analysis
Introduction to RNNs
course content

Kurssisisältö

Introduction to RNNs

Introduction to RNNs

1. Introduction to RNNs
2. Advanced RNN Variants
3. Time Series Analysis
4. Sentiment Analysis

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Sentiment Analysis Model

In this chapter, we build a Sentiment Analysis Model using an LSTM (Long Short-Term Memory) architecture. The goal of the model is to classify text into two categories: positive or negative sentiment. We use the IMDB dataset for movie reviews and employ several steps to train and evaluate the model.

In summary, this chapter walks through the process of building, training, and evaluating an LSTM-based sentiment analysis model. We focus on essential techniques like model architecture design, training configuration, early stopping, and gradient clipping to ensure that the model performs well on the sentiment classification task.

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What is the purpose of the embedding layer in the sentiment analysis model?

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