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| import nltk | |
| from nltk.tokenize import word_tokenize | |
| nltk.download('punkt') | |
| nltk.download('averaged_perceptron_tagger') | |
| class POSTagging: | |
| """Part of Speech Tagging on text data""" | |
| def __init__(self): | |
| pass | |
| def classify(self, text): | |
| """ | |
| Generate Part of Speech tags. | |
| Parameters: | |
| text (str): The user input string to generate tags for | |
| Returns: | |
| predictions (list): list of tuples containing words and their respective tags | |
| """ | |
| text = word_tokenize(text) | |
| predictions = nltk.pos_tag(text) | |
| return predictions |