Closed bellecarrell closed 5 years ago
results for n=100 salient features, multiclass classifier. going to try with n= 1300 or so, for an average of 100 per category
Specialization: travel Salient features: [(68, 'travel'), (32, 'https'), (10, 'feeling'), (10, 'beautiful'), (8, 'gt'), (8, 'co'), (6, 'day'), (5, 'se'), (5, 'love'), (4, 'shame'), (3, 'visit'), (3, 'trip'), (3, 'tour'), (3, 'looking'), (3, 'great'), (3, 'brighton'), (2, 'right'), (2, 'kerala'), (2, 'de'), (2, 'bersama'), (2, 'akhirnya'), (1, 'would'), (1, 'us'), (1, 'tweet'), (1, 'touch'), (1, 'russia'), (1, 'racist'), (1, 'london'), (1, 'know'), (1, 'juga'), (1, 'hai'), (1, 'guide'), (1, 'dubrovnik'), (1, 'croatia'), (1, 'bitch'), (1, 'australia'), (1, 'amazing'), (0, 'rt'), (0, 'new'), (0, 'like')]
Specialization: other Salient features: [(36, 'rt'), (25, 'follow'), (19, 'co'), (18, 'wordpress'), (18, 'blog'), (10, 'ifb'), (6, 'uh'), (4, 'god'), (3, 'setting'), (3, 'https'), (3, 'get'), (2, 'world'), (2, 'website'), (2, 'pakistan'), (2, 'movie'), (2, 'health'), (2, 'free'), (2, '2018'), (2, '10th'), (1, 'without'), (1, 'safe'), (1, 'name'), (1, 'june'), (1, 'july'), (1, 'introduction'), (1, 'great'), (1, 'followers'), (1, 'flower'), (1, 'bitcoin'), (0, 'youtube'), (0, 'via'), (0, 'travel'), (0, 'summer'), (0, 'one'), (0, 'like')]
Specialization: business Salient features: [(49, 'marketing'), (38, 'via'), (33, 'rt'), (8, 'seo'), (5, 'https'), (3, 'entrepreneur'), (2, 'help'), (1, 'twitter'), (1, 'thank'), (1, 'money'), (1, 'may'), (1, 'go'), (1, 'digital'), (1, 'country'), (1, 'co')]
Specialization: style Salient features: [(42, 'co'), (36, 'post'), (35, 'blog'), (27, 'https'), (23, 'bloglovin'), (16, 'fashion'), (14, 'like'), (13, 'summer'), (11, 'new'), (11, 'closet'), (8, 'awhile'), (7, 'retweet'), (7, 'go'), (6, 'heart'), (6, 'happy'), (5, 'spring'), (4, 'thank'), (3, 'check'), (2, 'see'), (2, 'get'), (2, 'collection'), (1, 'work'), (1, 'video'), (1, 'thursday'), (1, 'shop'), (1, 'oh'), (1, 'lv'), (1, 'love'), (1, 'home'), (1, 'hair'), (1, 'everyone'), (1, 'ein'), (1, 'day'), (0, 'via'), (0, 'rt'), (0, 'follow')]
Specialization: beauty Salient features: [(41, 'co'), (26, 'rt'), (13, 'ugh'), (12, 'post'), (10, 'beauty'), (9, 'new'), (8, 'youtube'), (6, 'day'), (6, 'amp'), (4, 'job'), (4, 'blog'), (3, 'work'), (3, 'makeup'), (2, 'yo'), (2, 'love'), (1, 'yoga'), (1, 'video'), (1, 'sorry'), (1, 'shut'), (1, 'never'), (1, 'leave'), (1, 'get'), (1, 'fear'), (1, 'earrings'), (1, 'days'), (1, 'brownies'), (1, 'back'), (0, 'https'), (0, 'check')]
Specialization: arts Salient features: [(22, 'rt'), (19, 'music'), (19, 'book'), (10, 'coast'), (8, 'contest'), (7, 'follow'), (3, 'writing'), (3, 'thank'), (3, 'life'), (3, 'come'), (2, 'everyone'), (1, 'video'), (1, 'stories'), (1, 'sites'), (1, 'like'), (1, 'light'), (1, 'happy'), (1, 'goodbye'), (1, 'day'), (1, 'books'), (1, 'birthday'), (1, 'author'), (1, 'always'), (0, 'via'), (0, 'travel'), (0, 'thankyou'), (0, 'summer'), (0, 'post'), (0, 'https'), (0, 'co'), (0, 'blog')]
Specialization: family Salient features: [(17, 'co'), (7, 'baby'), (6, 'aaron'), (5, 'via'), (5, 'really'), (5, 'family'), (3, 'week'), (3, 'see'), (3, 'nothing'), (3, 'new'), (3, 'gross'), (3, 'good'), (3, 'days'), (2, 'mom'), (2, 'kids'), (2, 'get'), (2, 'excited'), (2, 'day'), (1, 'would'), (1, 'sooner'), (1, 'shit'), (1, 'planning'), (1, 'mean'), (1, 'love'), (1, 'life'), (1, 'gold'), (1, 'friends'), (1, 'enter'), (1, 'english'), (1, '2019'), (0, 'rt'), (0, 'https')]
Specialization: politics Salient features: [(4, 'cnn'), (1, 'لكن'), (1, 'tracked'), (1, 'today'), (1, 'left'), (0, 'https'), (0, 'co')]
Specialization: health Salient features: [(16, 'thankyou'), (16, 'back'), (6, 'well'), (5, 'follow'), (3, 'meditation'), (3, 'lows'), (3, 'keto'), (3, 'health'), (1, 'stroke'), (1, 'retweet'), (1, 'mental'), (1, 'highs'), (0, 'rt'), (0, 'new'), (0, 'https'), (0, 'co')]
Specialization: gastronomy Salient features: [(57, 'https'), (45, 'recipe'), (23, 'co'), (9, 'chicken'), (8, 'weekend'), (8, 'sir'), (7, 'delicious'), (3, 'shooting'), (3, 'food'), (3, 'easy'), (2, 'today'), (1, 'restaurant'), (1, 'oh'), (1, 'ham'), (1, 'classic'), (0, 'rt')]
Specialization: sports Salient features: [(6, 'summer'), (3, 'thinking'), (1, 'check'), (0, 'rt'), (0, 'https'), (0, 'co')]
Specialization: games Salient features: [(1, 'someone'), (0, 'https'), (0, 'co')]
Specialization: science and technology Salient features: [(2, 'steemit'), (2, 'rt'), (1, 'seo'), (1, 'president'), (1, 'become'), (0, 'https'), (0, 'co')]
Specialization: books Salient features: [(35, 'rt'), (29, 'book'), (2, 'read'), (1, 'summer'), (0, 'https'), (0, 'co')]
results for n=100 salient features, multiclass classifier. going to try with n= 1300 or so, for an average of 100 per category
Specialization: travel Salient features: [(68, 'travel'), (32, 'https'), (10, 'feeling'), (10, 'beautiful'), (8, 'gt'), (8, 'co'), (6, 'day'), (5, 'se'), (5, 'love'), (4, 'shame'), (3, 'visit'), (3, 'trip'), (3, 'tour'), (3, 'looking'), (3, 'great'), (3, 'brighton'), (2, 'right'), (2, 'kerala'), (2, 'de'), (2, 'bersama'), (2, 'akhirnya'), (1, 'would'), (1, 'us'), (1, 'tweet'), (1, 'touch'), (1, 'russia'), (1, 'racist'), (1, 'london'), (1, 'know'), (1, 'juga'), (1, 'hai'), (1, 'guide'), (1, 'dubrovnik'), (1, 'croatia'), (1, 'bitch'), (1, 'australia'), (1, 'amazing'), (0, 'rt'), (0, 'new'), (0, 'like')]
Specialization: other Salient features: [(36, 'rt'), (25, 'follow'), (19, 'co'), (18, 'wordpress'), (18, 'blog'), (10, 'ifb'), (6, 'uh'), (4, 'god'), (3, 'setting'), (3, 'https'), (3, 'get'), (2, 'world'), (2, 'website'), (2, 'pakistan'), (2, 'movie'), (2, 'health'), (2, 'free'), (2, '2018'), (2, '10th'), (1, 'without'), (1, 'safe'), (1, 'name'), (1, 'june'), (1, 'july'), (1, 'introduction'), (1, 'great'), (1, 'followers'), (1, 'flower'), (1, 'bitcoin'), (0, 'youtube'), (0, 'via'), (0, 'travel'), (0, 'summer'), (0, 'one'), (0, 'like')]
Specialization: business Salient features: [(49, 'marketing'), (38, 'via'), (33, 'rt'), (8, 'seo'), (5, 'https'), (3, 'entrepreneur'), (2, 'help'), (1, 'twitter'), (1, 'thank'), (1, 'money'), (1, 'may'), (1, 'go'), (1, 'digital'), (1, 'country'), (1, 'co')]
Specialization: style Salient features: [(42, 'co'), (36, 'post'), (35, 'blog'), (27, 'https'), (23, 'bloglovin'), (16, 'fashion'), (14, 'like'), (13, 'summer'), (11, 'new'), (11, 'closet'), (8, 'awhile'), (7, 'retweet'), (7, 'go'), (6, 'heart'), (6, 'happy'), (5, 'spring'), (4, 'thank'), (3, 'check'), (2, 'see'), (2, 'get'), (2, 'collection'), (1, 'work'), (1, 'video'), (1, 'thursday'), (1, 'shop'), (1, 'oh'), (1, 'lv'), (1, 'love'), (1, 'home'), (1, 'hair'), (1, 'everyone'), (1, 'ein'), (1, 'day'), (0, 'via'), (0, 'rt'), (0, 'follow')]
Specialization: beauty Salient features: [(41, 'co'), (26, 'rt'), (13, 'ugh'), (12, 'post'), (10, 'beauty'), (9, 'new'), (8, 'youtube'), (6, 'day'), (6, 'amp'), (4, 'job'), (4, 'blog'), (3, 'work'), (3, 'makeup'), (2, 'yo'), (2, 'love'), (1, 'yoga'), (1, 'video'), (1, 'sorry'), (1, 'shut'), (1, 'never'), (1, 'leave'), (1, 'get'), (1, 'fear'), (1, 'earrings'), (1, 'days'), (1, 'brownies'), (1, 'back'), (0, 'https'), (0, 'check')]
Specialization: arts Salient features: [(22, 'rt'), (19, 'music'), (19, 'book'), (10, 'coast'), (8, 'contest'), (7, 'follow'), (3, 'writing'), (3, 'thank'), (3, 'life'), (3, 'come'), (2, 'everyone'), (1, 'video'), (1, 'stories'), (1, 'sites'), (1, 'like'), (1, 'light'), (1, 'happy'), (1, 'goodbye'), (1, 'day'), (1, 'books'), (1, 'birthday'), (1, 'author'), (1, 'always'), (0, 'via'), (0, 'travel'), (0, 'thankyou'), (0, 'summer'), (0, 'post'), (0, 'https'), (0, 'co'), (0, 'blog')]
Specialization: family Salient features: [(17, 'co'), (7, 'baby'), (6, 'aaron'), (5, 'via'), (5, 'really'), (5, 'family'), (3, 'week'), (3, 'see'), (3, 'nothing'), (3, 'new'), (3, 'gross'), (3, 'good'), (3, 'days'), (2, 'mom'), (2, 'kids'), (2, 'get'), (2, 'excited'), (2, 'day'), (1, 'would'), (1, 'sooner'), (1, 'shit'), (1, 'planning'), (1, 'mean'), (1, 'love'), (1, 'life'), (1, 'gold'), (1, 'friends'), (1, 'enter'), (1, 'english'), (1, '2019'), (0, 'rt'), (0, 'https')]
Specialization: politics Salient features: [(4, 'cnn'), (1, 'لكن'), (1, 'tracked'), (1, 'today'), (1, 'left'), (0, 'https'), (0, 'co')]
Specialization: health Salient features: [(16, 'thankyou'), (16, 'back'), (6, 'well'), (5, 'follow'), (3, 'meditation'), (3, 'lows'), (3, 'keto'), (3, 'health'), (1, 'stroke'), (1, 'retweet'), (1, 'mental'), (1, 'highs'), (0, 'rt'), (0, 'new'), (0, 'https'), (0, 'co')]
Specialization: gastronomy Salient features: [(57, 'https'), (45, 'recipe'), (23, 'co'), (9, 'chicken'), (8, 'weekend'), (8, 'sir'), (7, 'delicious'), (3, 'shooting'), (3, 'food'), (3, 'easy'), (2, 'today'), (1, 'restaurant'), (1, 'oh'), (1, 'ham'), (1, 'classic'), (0, 'rt')]
Specialization: sports Salient features: [(6, 'summer'), (3, 'thinking'), (1, 'check'), (0, 'rt'), (0, 'https'), (0, 'co')]
Specialization: games Salient features: [(1, 'someone'), (0, 'https'), (0, 'co')]
Specialization: science and technology Salient features: [(2, 'steemit'), (2, 'rt'), (1, 'seo'), (1, 'president'), (1, 'become'), (0, 'https'), (0, 'co')]
Specialization: books Salient features: [(35, 'rt'), (29, 'book'), (2, 'read'), (1, 'summer'), (0, 'https'), (0, 'co')]