BiLSTM

BiLSTM, or Bidirectional Long Short-Term Memory, is a type of artificial intelligence model used in natural language processing. It analyzes sequences of data, like sentences, by looking at them in two directions: forward and backward. This dual perspective helps the model understand context and relationships better, capturing nuances that a traditional model might miss. By remembering information over longer periods while also considering previous and future words, BiLSTM can improve tasks such as language translation, sentiment analysis, and more, making it a powerful tool for understanding human language.