Predictive Analytics with TensorFlow 6.5: Using Word2vec for Sentiment Analysis

The video tutorial covers sentiment analysis using various models, including TF-IDF and Sibo. It explains the process of building a predictive model for movie review sentiment analysis using the Sibo method, with data from the Cornell University dataset. The tutorial details data preprocessing, dictionary building, and the creation and training of the Sibo model using TensorFlow. It also demonstrates reusing the trained model for sentiment prediction and concludes with a brief introduction to deep neural networks.

How do you create a dictionary of words from the sentences?

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What is the significance of the noise contrastive estimation loss function in the model?

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Outline the steps taken to train the logistic regression model using the saved embeddings.

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