# understand users

- [Natural language processing (NLP)](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp.md): These docs give an insightful tour guide on what is Natural Language Processing and how you can make the most of it on Chatlayer.
- [Basic NLP concepts](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/basic-nlp-concepts.md): This page covers the fundamental concepts of Natural language processing (NLP).
- [Detect information with entities](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/detect-information-with-entities.md): Chatlayer has 4 types of entities: match, contextual, system, and composite.
- [Match entities](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/detect-information-with-entities/match-entities.md): Match entities are a type of entity that is detected when the user states a word that is part of a predefined list, or matches a certain pattern.
- [Contextual entities](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/detect-information-with-entities/contextual-entities.md): Contextual entities are detected in the context of a specific expression.
- [System entities](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/detect-information-with-entities/system-entities.md): System entities are Chatlayer's built-in predefined entities that match a certain general pattern that is widely used.
- [Composite entities](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/detect-information-with-entities/composite-entities.md): Use composite entities when you want to combine two different entities into one.
- [NLP best practices](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/how-to-nlp.md): Some of the best ways to set up a strong and reliable NLP model for your bot.
- [Word order and diversity of expressions](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/how-to-nlp/creating-diverse-expressions.md): This tutorial dives deeper on how to create optimal sets of expressions for your NLP model using word order and diversity of words.
- [AI intent booster](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/ai-intent-booster.md): You have a small bot, with less than 2000 expressions? The AI Intent Booster is specifically crafted to boost the performance of your NLP.
- [Train your NLP](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/train-your-nlp.md): Make sure to train your NLP so that your bot understands your users based on your latest model.
- [Context](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/using-context.md): Need to reuse the same intent twice or more within the same bot? Set context to your flows and make sure the bot provides the right answer.
- [NLP import & export](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/nlp-import-and-export.md): Import and export intents, expressions and entities to and from .csv files, under your NLP tab.
- [Sentiment analysis](https://docs.chatlayer.ai/nlp/natural-language-processing-nlp/sentiment-analysis.md): Determine the sentiment of the user's message to redirect your flow.
- [Languages](https://docs.chatlayer.ai/nlp/languages.md): Managing multiple languages in a single bot is easy on Chatlayer.
- [Supported languages](https://docs.chatlayer.ai/nlp/languages/supported-languages.md): A complete list of languages supported by Chatlayer's NLP, STT (Speech-to-text) and TTS (Text-to-speech) services:
- [Make your bot multilingual](https://docs.chatlayer.ai/nlp/languages/multilanguage-bots.md): Chatlayer's NLP supports many languages, from Dutch to English, Hindi and Africaans.
- [Change language within the conversation](https://docs.chatlayer.ai/nlp/languages/change-language-within-the-conversation.md): If you have built your bot to support multiple languages, you want it to talk to the user in their own language.


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