semvec/pypi-packages huggingface dataset:
sidsd12 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd11 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd10 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd0 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd9 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd8 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd7 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd6 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd5 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")
sidsd4 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Recognition

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_recognition

predictor = intent_recognition.Predictor()

confidence, pred_intent = predictor("find animated movies playing near me")