def main():
# get weekly counts for each author and plot one
df = read_forum_json('json/levergunscommunity.com.json')
author_date_df = to_daily_active_counts(df)
author_week_df = aggregate_weekly(author_date_df)
plot_author(author_week_df, '1002')
# Get weekly contents produced for each author and do lda for that week
author_date_content = to_daily_agg_contents(df)
author_week_content = aggregate_weekly(author_date_content)
lda, corpus, dictionary = lda_weekly(author_week_content.iloc[:, 50])
# infer topic for the first document which corresponds to the first row
print lda[corpus[0]]
# Get keywords for each author in each week by doing LDA
author_week_keywords = author_week_content.apply(weekly_keywords, axis=0)
def main():
df = read_forum_json('json/levergunscommunity.com.json')
corpus, dictionary = generate_corpus(df)
lda = LdaMulticore(corpus, num_topics=20, id2word=dictionary, workers=3)
lda.print_topics(num_topics=20, num_words=20)