Constructor
new NlpClassifier(settings)
Constructor of the class.
Parameters:
Name | Type | Description |
---|---|---|
settings |
Object | Settings for this instance. |
- Source:
Methods
add(srcUtterance, srcIntent)
Adds a new utterance to an intent.
Parameters:
Name | Type | Description |
---|---|---|
srcUtterance |
String | Utterance to be added. |
srcIntent |
String | Intent for adding the utterance. |
- Source:
existsUtterance(utterance, intent) → {boolean}
Indicates if an utterance already exists, at the given intent or globally.
Parameters:
Name | Type | Description |
---|---|---|
utterance |
String | Utterance to be checked. |
intent |
String | Intent to check, undefined to search globally. |
- Source:
Returns:
True if the intent exists, false otherwise.
- Type
- boolean
getBestClassification(utterance) → {Object}
Given an utterance, get the label and score of the best classification.
Parameters:
Name | Type | Description |
---|---|---|
utterance |
String | Utterance to be classified. |
- Source:
Returns:
Best classification of the observation.
- Type
- Object
getClassifications(utterance) → {Array.<Object>}
Get all the labels and score for each label from this utterance.
Parameters:
Name | Type | Description |
---|---|---|
utterance |
String | Utterance to be classified. |
- Source:
Returns:
Sorted array of classifications, with label and score.
- Type
- Array.<Object>
posUtterance(srcUtterance, intent) → {Number}
Gets the position of a utterance for an intent.
Parameters:
Name | Type | Description |
---|---|---|
srcUtterance |
Object | Utterance to be found. |
intent |
Object | Intent of the utterance. |
- Source:
Returns:
Position of the utterance, -1 if not found.
- Type
- Number
remove(srcUtterance, srcIntent)
Remove an utterance from the classifier.
Parameters:
Name | Type | Description |
---|---|---|
srcUtterance |
String | Utterance to be removed. |
srcIntent |
String | Intent of the utterance, undefined to search all |
- Source:
textToFeatures(srcUtterance) → {Array.<Number>}
Given an utterance, tokenize and steam the utterance and convert it
to a vector of binary values, where each position is a feature (a word
stemmed) and the value means if the utterance has this feature.
The input utterance can be an string or an array of tokens.
Parameters:
Name | Type | Description |
---|---|---|
srcUtterance |
String | Utterance to be converted to features vector. |
- Source:
Returns:
Features vector of the utterance.
- Type
- Array.<Number>
tokenizeAndStem(utterance) → {Array.<String>}
Generate the vector of features.
Parameters:
Name | Type | Description |
---|---|---|
utterance |
String | Input utterance. |
- Source:
Returns:
Vector of features.
- Type
- Array.<String>
(async) train()
Train the classifier with the existing utterances and intents.
- Source: