# Simple keyword extraction keywords = [token.text for token in doc if token.pos_ in ["PROPN", "NOUN"]] return keywords

# Load English tokenizer, tagger, parser, NER, and word vectors nlp = spacy.load("en_core_web_sm")

def process_video_title(title): doc = nlp(title) print([(token.text, token.pos_) for token in doc])

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# Simple keyword extraction keywords = [token.text for token in doc if token.pos_ in ["PROPN", "NOUN"]] return keywords

# Load English tokenizer, tagger, parser, NER, and word vectors nlp = spacy.load("en_core_web_sm")

def process_video_title(title): doc = nlp(title) print([(token.text, token.pos_) for token in doc])