<jupyter_start><jupyter_text>Number of privacy related tweets from 02/01/2020 - 02/09/2020: Much more privacy related tweets are about facbook, then google and youtube.<jupyter_code>ax = sns.barplot('Web','Text_Count',data = privacy_count_summary,palette='PRGn')
ax.set(xlabel='', ylabel='count')
ax.set_title('Number of privacy related tweets by company')
plt.show()<jupyter_output>/anaconda/lib/python3.6/site-packages/seaborn/categorical.py:1428: FutureWarning: remove_na is deprecated and is a private function. Do not use.
  stat_data = remove_na(group_data)<jupyter_text>Proportion of tweets that are non-original, e.g. belongs to retweets? About 63% facbook, privacy related tweets are not original, maybe belongs to retweets. Even though instagram has much less privacy related tweets, more than 40% of them are not original. This tells us that privacy for facbook related products get some people's attention easier.  About half Youtube privacy related tweets are also not original.  Privacy in Apple hasn't got as much attention as facebook and youtube.<jupyter_code>ax = sns.barplot('Web','Prop_replicate_Text',data = privacy_count_summary,palette='PRGn')
ax.set(xlabel='', ylabel='proportion')
ax.set_ylim(0,0.7)
ax.set_title('Proportion of non-original privacy related tweets by company')
plt.show()<jupyter_output>/anaconda/lib/python3.6/site-packages/seaborn/categorical.py:1428: FutureWarning: remove_na is deprecated and is a private function. Do not use.
  stat_data = remove_na(group_data)
{'fraction_non_alphanumeric': 0.09615384615384616, 'fraction_numerical': 0.023209549071618037, 'mean_word_length': 6.220095693779904, 'pattern_counts': {'":': 0, '<': 7, '<?xml version=': 0, '>': 7, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '481207', 'license': 'MIT', 'n_tokens_mistral': 504, 'n_tokens_neox': 458, 'n_words': 149, 'path': 'online_privacy_sentiment_analysis.ipynb', 'repo_name': 'shuaiminkang/online-privacy-related-tweets', 'size': '1508'}