Sentiment Analysis | Learning Embedding For Words Of Corpus Using Embedding Layer | RNN In Tensoflow

Опубликовано: 29 Апрель 2026
на канале: Pathshala
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#Pathshala #DLPathshala #SentimentAnalysis #RecurrentNeuralNetwork #RNN #DeepLearning #TensorflowCodingTutorial #TensorflowTutorial #Tensorflow

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This video of deep learning's coading tutorial, explain how to build the word embeddings from the given corpus for performing sentiment analysis. We have created a recurrent neural network in Tensorflow. First layer of model is Embedding Layer. This layer learns embedding for word and uses it in the rest of the model for identifying sentiment of text. In the video, we have worked on following questions:
What does embedding mean?
What is embedding layer?
How to learn embeddings from the given corpus?
What is mean by sentiment analysis?
How RNN is implemented in Tensorflow?
How can I use word embedding for text classification?
What is the output of RNN?