Natural Language Processing
Natural Language Processing

Tensorflow

  1. Initial data preparation (your sales scenarios and typical case answers)
  2. Training BRN AI for your smart bot (using TensorFlow)
  3. Intent Classifier makes predictions of the best answer, which is calculated by AI between bot’s messages and each candidate’s responses
  4. You can easily set up manual bot scenario or automatic sequence for recognised answers, simultaneously with Entity Recognizer

Flair

  1. Initial data preparation (your dialogs, emails, etc)
  2. Training BRN AI for your smart bot (using FlairNLP)
  3. Entity Recogniser service accepts a user text message and predicts Entity tags such as “Order number”, “Postage address”, or any other, according to your needs
  4. You can easily set up manual bot scenario or automatic sequence for recognised tags
Natural Language Processing