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bellecarrell / twitter_brand

In developing a brand on Twitter (and social media in general), how does what you say and how you say it correspond to positive results (more followers, for example)?
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Analysis tweets over time #86

Closed abenton closed 5 years ago

abenton commented 5 years ago

Count tweets over time for each user and specialization

abenton commented 5 years ago

Wrote out counts per month per user/specialization/overall. Sample usage:

python analysis/tweets_over_time.py --tweet_path ./promoting_users/timeline/user_tweets.noduplicates.tsv.gz --user_label_path ./mace_labels_confmax.labels.tsv --out_path ./counts_per_month.tsv

Can identify dead accounts by those without counts in tail.