{"id":18103,"date":"2019-01-30T11:11:24","date_gmt":"2019-01-30T11:11:24","guid":{"rendered":"\/docs\/bots\/bot-builder\/train\/"},"modified":"2023-03-13T13:01:04","modified_gmt":"2023-03-13T13:01:04","slug":"optimizing-bots","status":"publish","type":"post","link":"https:\/\/developer.kore.ai\/v10\/docs\/bots\/nlp\/optimizing-bots\/","title":{"rendered":"Improving VA Performance – NLP Optimization"},"content":{"rendered":"
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A chatbot\u2019s ability to consistently understand and interact with a user is dictated by the robustness of the Natural Language Processing (NLP) that powers the conversation.<\/p>\n

Kore.ai\u2019s platform uses a unique Natural Language Processing strategy, combining Fundamental Meaning and Machine Learning engines for maximum conversation accuracy with little upfront training. Bots built on Kore.ai\u2019s platform can understand and process multi-sentence messages, multiple intents, contextual references made by the user, patterns and idiomatic sentences, and more. See here for an overview<\/a>.<\/p>\n

The NL engine includes recognition support for a wide range of entities and provides the tools needed to further customize your bot\u2019s language understanding using additional patterns.<\/p>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n

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Optimizing your Virtual Assistant<\/span><\/h2>\n

To make sure your VA is NLP-optimized, you can define, and refine names and terms used for your assistant to enhance the NLP interpreter accuracy and performance to recognize the right bot task for the user.
You begin by defining synonyms at the task level, and then manage and refine synonyms, and test at the bot level.<\/p>\n

To get started optimizing your Virtual Assistant and tasks, you need to access the Natural Language<\/strong>\u00a0options. These options are categorized\u00a0under various headings for your convenience:<\/p>\n