Sentiment Analysis Using Deep Neural Network (SimpleRNN) With Word2Vec Pretrained Word Embeddings

Опубликовано: 13 Июль 2026
на канале: Pathshala
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#Pathshala #SentimentAnalysis #DLPathshala #DeepNeuralNetwork #SimpleRNN #EmbeddingLayerKeras #TensorflowModelForSentimentAnalysis

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This video of deep learning's coading tutorial, explains how to use pretrained word embeddings given by Word2Vec learned from a large Google News. We have demonstrated that with Sentiment Analysis. We have taken small dataset for identifying sentiments of given text. We have created model with Embedding and SimpleRNN layers. In summary we have worked on following questions in video:
Can we use word2vec for sentiment analysis?
How do I use Word embeds for text classification?
How do I use Word to embed layers for deep learning with keras?
How can word2vec be used for sentiment analysis?