olivia: github.com/olivia-ai/olivia/analysis Index | Files

package analysis

import "github.com/olivia-ai/olivia/analysis"

Index

Package Files

intents.go sentence.go

Constants

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const DontUnderstand = "don't understand"

func Arrange Uses

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func Arrange(text string) string

Arrange check the format of a string to normalize it, put the string to lower case, remove ignored characters

func LogResults Uses

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func LogResults(entry string, results []Result)

LogResults print in the console the sentence and its tags sorted by prediction

func RandomizeResponse Uses

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func RandomizeResponse(entry string, tag string, token string) (string, string)

RandomizeResponse takes the entry message, the response tag and the token and returns a random message from res/intents.json where the triggers are applied

type Document Uses

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type Document struct {
    Sentence Sentence
    Tag      string
}

func Organize Uses

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func Organize() (words, classes []string, documents []Document)

Organize intents with an array of all words, an array with a representative word of each tag and an array of Documents which contains a word list associated with a tag

type Intent Uses

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type Intent struct {
    Tag       string   `json:"tag"`
    Patterns  []string `json:"patterns"`
    Responses []string `json:"responses"`
    Context   string   `json:"context"`
}

func SerializeIntents Uses

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func SerializeIntents() []Intent

func SerializeModulesIntents Uses

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func SerializeModulesIntents() []Intent

SerializeModulesIntents retrieves all the registered modules and returns an array of Intents

type Result Uses

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type Result struct {
    Tag   string
    Value float64
}

type Sentence Uses

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type Sentence struct {
    Content string
}

func NewSentence Uses

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func NewSentence(content string) Sentence

NewSentence returns a Sentence object where the content has been arranged

func (Sentence) Calculate Uses

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func (sentence Sentence) Calculate(cache gocache.Cache, network neuralnet.NeuralNetwork, token string) (string, string)

Calculate send the sentence content to the neural network and returns a response with the matching tag

func (Sentence) PredictTag Uses

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func (sentence Sentence) PredictTag(network neuralnet.NeuralNetwork) string

Classify the sentence with the model

func (Sentence) Tokenize Uses

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func (sentence Sentence) Tokenize() (tokenizedWords []string)

Tokenize returns the sentence split in stemmed words

func (Sentence) WordsBag Uses

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func (sentence Sentence) WordsBag(words []string) (bag []float64)

WordsBag retrieves the intents words and returns the sentence converted in a bag of words

Package analysis imports 14 packages (graph) and is imported by 2 packages. Updated 2019-08-09. Refresh now. Tools for package owners.