Bi-LSTM Networksīi-directional long-term memory (Bi-LSTM) is a neural network architecture in which information is used in both directions forward (past to future) or backward (future to past).įrom tqdm._tqdm_notebook import tqdm_notebook Recurrent neural networks remember the sequence (arrangement) of data and use these data patterns to make predictions. RNN (Recurrent Neural Network) is a type of neural network that is generally used to develop speech and text-related models such as speech recognition and natural language processing models. This article assumes that the reader has basic knowledge about CNN & RNN. In this article, you will be using Bi-Directional LSTM along with word2vec to get better results. There are several ways to detect feelings. In this article, we will focus on emotion detection for text data. Take the example of Amazon where sentiment models categorize reviews as positive, negative, and neutral, based on Amazon knowing whether a product is good or not.Take the example of Twitter where millions of users tweet and an ML model can read all posts and can categorize the emotion behind the tweets. Sentiment detection has already been implemented in various work tasks.Detecting emotions is an indispensable task in natural language processing. Emotion detection, as the name implies, means identifying the emotion behind any text or speech.
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