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Engineering considerations: 1 The structure de is clear and modular 2 Functional analysis, decoupling without mutual interferencepluggable and expandable components 2. The algorithm and machine learning perspective: 1 Algorithm brief answer, data feature drive 2 Sceneization and vertical field Customer service question and answer questions are very long-tailed, we only need to solve most of the problems. Second, preliminary knowledge Match Q with Q and compare the similarity of two sentences. In deep learning, you can use Q to match A because of long-term memory.

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Solution: word vector NLTK wordnet library: list of synonyms.

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Second, preliminary knowledge Match Q with Q and compare the similarity of two sentences. Time Logic Adapter: Handle time-related questions. Edit distance matching Application: spelling correction and intelligent completion. But it is a sentence with 2 meanings.

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Meaning match. The algorithm and texts learning perspective: 1 Algorithm brief answer, data feature drive 2 Sceneization and vertical field Customer service question and answer questions are very long-tailed, we only need to solve most of the problems. The conversation data is stored in Json format. Second, teya simone escort knowledge Match Q with Q and compare the similarity of two sentences.

Time Logic Adapter: Handle time-related questions. It is believed that the information and documents are similar.

The N-dimensional vector is used to compare the similarity between vocabulary. The editing distance is 3, which is very small.

Engineering considerations: 1 The structure de is clear and modular 2 Functional analysis, decoupling without mutual interferencepluggable and expandable components 2. Scene tetxa Give a sentence to determine which category it belongs to. In deep learning, you can use Q to match A because of long-term memory.

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For chatterbots with short conversations, users only answer questions based on the sentence. Not related to context, Intelligent Recommendation.

Mathematical Evaluation Adapter: involves mathematical operations. Edit distance matching Application: spelling correction and intelligent completion. Json is generally not used in a production environment because the speed is too slow Mongo Database Adapter: MongoDB database to store conversation data 4. The editing distance is 3, which is very small.

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For chatterbots with short conversations, users only answer questions based on the sentence. Word meaning matching: For example, what kind of information textx you like; what kind of documentation do you like. Solution: word vector NLTK wordnet library: list of synonyms. Chatterbot chat robot application Each part is deed with a different "Adapter" Adapter 1.

It is believed that the information and documents are similar. Matching by scene can speed up the matching speed.

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The N-dimensional vector is used to compare the similarity gexta vocabulary. Word meaning matching: Xhat example, what kind of information do you like; what kind of documentation do you like. Json is generally not used in a production environment because the speed is too slow Mongo Database Adapter: MongoDB database to store conversation data 4. Scene matching: Give a sentence to determine which category it belongs to. Search and match 1 Knowledge base stored questions and answers 2 Retrieval: Search related issues 3 Match: sort the 2.

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Python in the string type, the default UTF-8 encoding, a Chinese character is represented by three bytes. Chatterbot chat robot application Each part is deed with a different "Adapter" Adapter 1. Determine what scenario the question asked by the user belongs to.

For example, user question Q, and the existing editing distance of Q Text matches. Use unicode. Not related to context, Intelligent Recommendation.

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Matching by scene can speed up the matching speed. Meaning: ChatterBot is a chat robot engine based on machine learning, built on Python, the main feature is that it can learn memorize and learn match from existing conversations. Python in the string type, the default UTF-8 encoding, a Chinese character is represented by three bytes.