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halfak/example_topic_features.py

Created January 9, 2020 16:12
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example_topic_features.py
w2v = aggregators.mean(
revision_text_vectors,
vector=True,
name="revision.text.google_news_vector_mean"
)
# Define pronoun features
# ... preamble to defining features
female_pronouns_count = aggregators.len(female_pronouns)
pronoun_features = [
female_pronouns_count,
male_pronouns_count,
female_pronouns_count + male_pronouns_count,
female_pronouns_count / (female_pronouns_count + male_pronouns_count)
]
drafttopic = [w2v] + pronoun_features
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