Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add minimal Emoji support #19

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

Add minimal Emoji support #19

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
b3531ea
Add minimal Emoji support
nark Jan 17, 2018
21b3902
Add score_average method
nark Jan 17, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
116 changes: 116 additions & 0 deletions data/emojis.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,116 @@
{
"😀" : 0.5,
"😁" : 0.8,
"😂" : 1.0,
"🤣" : 1.0,
"😃" : 0.8,
"😄" : 1.0,
"😅" : 1.0,
"😆" : 1.0,
"😉" : 0.5,
"😊" : 0.3,
"😋" : 0.4,
"😎" : 0.5,
"😍" : 1.0,
"😘" : 1.0,
"😗" : 0.8,
"😙" : 1.0,
"😚" : 1.0,
"☺" : 0.3,
"🙂" : 0.3,
"🤗" : 0.6,
"🤩" : 1.0,
"🤔" : 0.0,
"🤨" : -0.2,
"😐" : 0.0,
"😑" : -0.2,
"😶" : 0.0,
"🙄" : 0.0,
"😏" : 0.3,
"😣" : -1.0,
"😥" : -1.0,
"😮" : 0.0,
"🤐" : 0.0,
"😯" : 0.0,
"😪" : -1.0,
"😫" : -1.0,
"😴" : 0.0,
"😌" : 0.2,
"😛" : 0.7,
"😜" : 0.8,
"😝" : 1.0,
"🤤" : 0.8,
"😒" : -0.5,
"😓" : -0.8,
"😔" : -0.5,
"😕" : -0.3,
"🙃" : 0.5,
"🤑" : 1.0,
"😲" : 0.0,
"☹" : -0.8,
"🙁" : -0.6,
"😖" : -1.0,
"😞" : -0.6,
"😟" : -0.6,
"😤" : -0.7,
"😢" : -0.8,
"😭" : -1.0,
"😦" : -0.6,
"😧" : -0.6,
"😨" : -0.7,
"😩" : -0.8,
"🤯" : -1.0,
"😬" : -0.5,
"😰" : -0.8,
"😱" : -1.0,
"😳" : 0.0,
"🤪" : 1.0,
"😵" : -0.4,
"😡" : -0.9,
"😠" : -0.8,
"🤬" : -1.0,
"😷" : 0.0,
"🤒" : -0.8,
"🤕" : -0.8,
"🤢" : -0.9,
"🤮" : -1.0,
"🤧" : -0.8,
"😇" : 0.8,
"🤠" : 0.7,
"🤡" : 0.8,
"🤥" : -0.6,
"🤫" : 0.0,
"🤭" : 0.2,
"🧐" : 0.0,
"🤓" : 0.5,
"💪" : 1.0,
"👈" : 0.0,
"👉" : 0.0,
"☝" : 1.0,
"👆" : 1.0,
"🖕" : -1.0,
"👇" : -1.0,
"✌" : 1.0,
"🤞" : 0.0,
"🖖" : 0.0,
"🤘" : 1.0,
"🖐" : 0.0,
"✋" : 0.0,
"👌" : 1.0,
"👍" : 1.0,
"👎" : -1.0,
"✊" : 1.0,
"👊" : 1.0,
"🤛" : 0.0,
"🤜" : 0.0,
"🤚" : 0.0,
"👋" : 0.0,
"🤟" : 1.0,
"✍" : 0.0,
"👏" : 1.0,
"👐" : 0.0,
"🙌" : 1.0,
"🤲" : 0.0,
"🙏" : 1.0,
"🤝" : 1.0
}
19 changes: 17 additions & 2 deletions lib/sentimental.rb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,20 @@ def score(string)
end[:score]
end

def score_average(string)
return 0 if neutral_regexps.any? { |regexp| string =~ regexp }

initial_scoring = {score: 0, current_influencer: 1.0}
word_counter = 0

w = extract_words_with_n_grams(string).inject(initial_scoring) do |current_scoring, word|
word_counter += 1
process_word(current_scoring, word)
end

w[:score].to_f / word_counter.to_f
end

def sentiment(string)
score = score(string)

Expand All @@ -42,7 +56,7 @@ def classify(string)
end

def load_defaults
%w(slang en_words).each do |filename|
%w(slang en_words emojis).each do |filename|
load_from_json(File.dirname(__FILE__) + "/../data/#{filename}.json")
end
load_influencers_from_json(File.dirname(__FILE__) + '/../data/influencers.json')
Expand Down Expand Up @@ -86,11 +100,12 @@ def process_word(scoring, word)
end

def extract_words(string)
string.to_s.downcase.scan(/([\w']+|\S{2,})/).flatten
string.to_s.downcase.scan(/([\w']+|\S{2,}+|[\u{00A9}\u{00AE}\u{203C}\u{2049}\u{2122}\u{2139}\u{2194}-\u{2199}\u{21A9}-\u{21AA}\u{231A}-\u{231B}\u{2328}\u{23CF}\u{23E9}-\u{23F3}\u{23F8}-\u{23FA}\u{24C2}\u{25AA}-\u{25AB}\u{25B6}\u{25C0}\u{25FB}-\u{25FE}\u{2600}-\u{2604}\u{260E}\u{2611}\u{2614}-\u{2615}\u{2618}\u{261D}\u{2620}\u{2622}-\u{2623}\u{2626}\u{262A}\u{262E}-\u{262F}\u{2638}-\u{263A}\u{2640}\u{2642}\u{2648}-\u{2653}\u{2660}\u{2663}\u{2665}-\u{2666}\u{2668}\u{267B}\u{267F}\u{2692}-\u{2697}\u{2699}\u{269B}-\u{269C}\u{26A0}-\u{26A1}\u{26AA}-\u{26AB}\u{26B0}-\u{26B1}\u{26BD}-\u{26BE}\u{26C4}-\u{26C5}\u{26C8}\u{26CE}-\u{26CF}\u{26D1}\u{26D3}-\u{26D4}\u{26E9}-\u{26EA}\u{26F0}-\u{26F5}\u{26F7}-\u{26FA}\u{26FD}\u{2702}\u{2705}\u{2708}-\u{270D}\u{270F}\u{2712}\u{2714}\u{2716}\u{271D}\u{2721}\u{2728}\u{2733}-\u{2734}\u{2744}\u{2747}\u{274C}\u{274E}\u{2753}-\u{2755}\u{2757}\u{2763}-\u{2764}\u{2795}-\u{2797}\u{27A1}\u{27B0}\u{27BF}\u{2934}-\u{2935}\u{2B05}-\u{2B07}\u{2B1B}-\u{2B1C}\u{2B50}\u{2B55}\u{3030}\u{303D}\u{3297}\u{3299}\u{1F004}\u{1F0CF}\u{1F170}-\u{1F171}\u{1F17E}-\u{1F17F}\u{1F18E}\u{1F191}-\u{1F19A}\u{1F1E6}-\u{1F1FF}\u{1F201}-\u{1F202}\u{1F21A}\u{1F22F}\u{1F232}-\u{1F23A}\u{1F250}-\u{1F251}\u{1F300}-\u{1F321}\u{1F324}-\u{1F393}\u{1F396}-\u{1F397}\u{1F399}-\u{1F39B}\u{1F39E}-\u{1F3F0}\u{1F3F3}-\u{1F3F5}\u{1F3F7}-\u{1F4FD}\u{1F4FF}-\u{1F53D}\u{1F549}-\u{1F54E}\u{1F550}-\u{1F567}\u{1F56F}-\u{1F570}\u{1F573}-\u{1F57A}\u{1F587}\u{1F58A}-\u{1F58D}\u{1F590}\u{1F595}-\u{1F596}\u{1F5A4}-\u{1F5A5}\u{1F5A8}\u{1F5B1}-\u{1F5B2}\u{1F5BC}\u{1F5C2}-\u{1F5C4}\u{1F5D1}-\u{1F5D3}\u{1F5DC}-\u{1F5DE}\u{1F5E1}\u{1F5E3}\u{1F5E8}\u{1F5EF}\u{1F5F3}\u{1F5FA}-\u{1F64F}\u{1F680}-\u{1F6C5}\u{1F6CB}-\u{1F6D2}\u{1F6E0}-\u{1F6E5}\u{1F6E9}\u{1F6EB}-\u{1F6EC}\u{1F6F0}\u{1F6F3}-\u{1F6F8}\u{1F910}-\u{1F93A}\u{1F93C}-\u{1F93E}\u{1F940}-\u{1F945}\u{1F947}-\u{1F94C}\u{1F950}-\u{1F96B}\u{1F980}-\u{1F997}\u{1F9C0}\u{1F9D0}-\u{1F9E6}\u{200D}\u{20E3}\u{FE0F}\u{E0020}-\u{E007F}\u{2388}\u{2605}\u{2607}-\u{260D}\u{260F}-\u{2610}\u{2612}\u{2616}-\u{2617}\u{2619}-\u{261C}\u{261E}-\u{261F}\u{2621}\u{2624}-\u{2625}\u{2627}-\u{2629}\u{262B}-\u{262D}\u{2630}-\u{2637}\u{263B}-\u{263F}\u{2641}\u{2643}-\u{2647}\u{2654}-\u{265F}\u{2661}-\u{2662}\u{2664}\u{2667}\u{2669}-\u{267A}\u{267C}-\u{267E}\u{2680}-\u{2691}\u{2698}\u{269A}\u{269D}-\u{269F}\u{26A2}-\u{26A9}\u{26AC}-\u{26AF}\u{26B2}-\u{26BC}\u{26BF}-\u{26C3}\u{26C6}-\u{26C7}\u{26C9}-\u{26CD}\u{26D0}\u{26D2}\u{26D5}-\u{26E8}\u{26EB}-\u{26EF}\u{26F6}\u{26FB}-\u{26FC}\u{26FE}-\u{2701}\u{2703}-\u{2704}\u{270E}\u{2710}-\u{2711}\u{2765}-\u{2767}\u{1F000}-\u{1F003}\u{1F005}-\u{1F0CE}\u{1F0D0}-\u{1F0FF}\u{1F10D}-\u{1F10F}\u{1F12F}\u{1F16C}-\u{1F16F}\u{1F1AD}-\u{1F1E5}\u{1F203}-\u{1F20F}\u{1F23C}-\u{1F23F}\u{1F249}-\u{1F24F}\u{1F252}-\u{1F2FF}\u{1F322}-\u{1F323}\u{1F394}-\u{1F395}\u{1F398}\u{1F39C}-\u{1F39D}\u{1F3F1}-\u{1F3F2}\u{1F3F6}\u{1F4FE}\u{1F53E}-\u{1F548}\u{1F54F}\u{1F568}-\u{1F56E}\u{1F571}-\u{1F572}\u{1F57B}-\u{1F586}\u{1F588}-\u{1F589}\u{1F58E}-\u{1F58F}\u{1F591}-\u{1F594}\u{1F597}-\u{1F5A3}\u{1F5A6}-\u{1F5A7}\u{1F5A9}-\u{1F5B0}\u{1F5B3}-\u{1F5BB}\u{1F5BD}-\u{1F5C1}\u{1F5C5}-\u{1F5D0}\u{1F5D4}-\u{1F5DB}\u{1F5DF}-\u{1F5E0}\u{1F5E2}\u{1F5E4}-\u{1F5E7}\u{1F5E9}-\u{1F5EE}\u{1F5F0}-\u{1F5F2}\u{1F5F4}-\u{1F5F9}\u{1F6C6}-\u{1F6CA}\u{1F6D3}-\u{1F6DF}\u{1F6E6}-\u{1F6E8}\u{1F6EA}\u{1F6ED}-\u{1F6EF}\u{1F6F1}-\u{1F6F2}\u{1F6F9}-\u{1F6FF}\u{1F774}-\u{1F77F}\u{1F7D5}-\u{1F7FF}\u{1F80C}-\u{1F80F}\u{1F848}-\u{1F84F}\u{1F85A}-\u{1F85F}\u{1F888}-\u{1F88F}\u{1F8AE}-\u{1F90F}\u{1F93F}\u{1F94D}-\u{1F94F}\u{1F96C}-\u{1F97F}\u{1F998}-\u{1F9BF}\u{1F9C1}-\u{1F9CF}])/).flatten
end

def extract_words_with_n_grams(string)
words = extract_words(string)

(1..ngrams).to_a.map do |ngram_size|
ngramify(words, ngram_size)
end.flatten
Expand Down