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Home » Chat Bot using Python, Machine Learning, NLP, Keras and NLTK

Chat Bot using Python, Machine Learning, NLP, Keras and NLTK

Asep Budi by Asep Budi
20 Juni 2024
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Before managing the dialogue flow, you need to work on intent recognition and entity extraction. This step is key to understanding the user’s query or identifying specific information within user input. Next, you need to create a proper dialogue flow to handle the strands of conversation.

We would love to have you on board to have a first-hand experience of Kommunicate. A form of model in Keras, a high-level neural networks API that operates on top of TensorFlow, Theano, or CNTK, is the sequential API. The Sequential API is meant for creating straightforward sequential models with precisely one input tensor and one output tensor for each layer. Lemmatization is a technique in Natural Language Processing (NLP) that involves reducing words to their base or root form, called a lemma. Tokenization is a fundamental task in Natural Language Processing (NLP) that involves breaking a text into individual words or meaningful sub-components, called tokens.

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