This (terribly named) project was an inspired stem of the insightweets project I had built previously, with one of it's potential applications.
This project looks through tweets for any given query, and looks at the average sentiment of any search result's twitter account over a period of time. It's also a good code example for using callbacks, and storing tweets into MongoDB for convenient un-rate-limited searching and processing later on.
After looking at which we can determine if a particular user happens to be suffering from depression.
interesting right?
Please contribute. I can't actually do node callbacks for my life.
This is sample tweet, it should help as far as understanding the JSON responses from twitter.
tweet = {
created_at: 'Sat Jun 13 04:44:55 +0000 2015',
id: 609582194881896400,
id_str: '609582194881896448',
text: 'Just wanna wake up to a cute message in the morning, that is all',
source: '<a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>',
truncated: false,
in_reply_to_status_id: null,
in_reply_to_status_id_str: null,
in_reply_to_user_id: null,
in_reply_to_user_id_str: null,
in_reply_to_screen_name: null,
user:
{ id: 2766659457,
id_str: '2766659457',
name: 'diana',
screen_name: 'dcampbelll_',
location: 'fly high girls JCL & TEM ❤️',
url: null,
description: '@kyleevick is my forever // im cruisin\' w @afansler_123 @urugtina @MoOdY_foLiFe ✊',
protected: false,
verified: false,
followers_count: 705,
friends_count: 558,
listed_count: 1,
favourites_count: 8297,
statuses_count: 14096,
created_at: 'Wed Sep 10 21:59:54 +0000 2014',
utc_offset: null,
time_zone: null,
geo_enabled: false,
lang: 'en',
contributors_enabled: false,
is_translator: false,
profile_background_color: 'C0DEED',
profile_background_image_url: 'http://abs.twimg.com/images/themes/theme1/bg.png',
profile_background_image_url_https: 'https://abs.twimg.com/images/themes/theme1/bg.png',
profile_background_tile: false,
profile_link_color: '0084B4',
profile_sidebar_border_color: 'C0DEED',
profile_sidebar_fill_color: 'DDEEF6',
profile_text_color: '333333',
profile_use_background_image: true,
profile_image_url: 'http://pbs.twimg.com/profile_images/608409270640607232/KpIbCCEg_normal.jpg',
profile_image_url_https: 'https://pbs.twimg.com/profile_images/608409270640607232/KpIbCCEg_normal.jpg',
profile_banner_url: 'https://pbs.twimg.com/profile_banners/2766659457/1433429178',
default_profile: true,
default_profile_image: false,
following: null,
follow_request_sent: null,
notifications: null },
geo: null,
coordinates: null,
place: null,
contributors: null,
retweet_count: 2,
favorite_count: 1,
entities:
{ hashtags: [],
trends: [],
urls: [],
user_mentions: [],
symbols: [] },
favorited: false,
retweeted: false,
possibly_sensitive: false,
filter_level: 'low',
lang: 'en' },
retweet_count: 0,
favorite_count: 0,
entities:
{ hashtags: [],
trends: [],
urls: [],
user_mentions: [ [Object] ],
symbols: [] },
favorited: false,
retweeted: false,
possibly_sensitive: false,
filter_level: 'low',
lang: 'en',
timestamp_ms: '1434171504660' }
}
Twit is a fantastic twitter client. Looking for a simpler way to see mongo data? Check out mongoui
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