Research Article
NNPCov19: Artificial Neural Network-Based Propaganda Identification on Social Media in COVID-19 Era
Algorithm 1
Improved ANN for the classification of tweets (ANNBPI).
| | Require: filtered tweets | | | Ensure: propaganda tweet and non-propaganda tweet | | (1) | Filtered tweets | | (2) | Propaganda tweets | | (3) | Nonpropaganda tweets | | (4) | Tokenization T | | (5) | Stop word removal SW | | (6) | Stemming S | | (7) | Total Number of Tweets n | | (8) | Term frequency/inverse document frequency TF/IDF. | | (9) | Bag of Words B | | (10) | START | | (11) | for do | | (12) | = + //manual annotation | | (13) | | | (14) | end for | | (15) | for 1 do | | (16) | = | | (17) | = | | (18) | = | | (19) | end for | | (20) | for do | | (21) | = | | (22) | = + | | (23) | end for | | (24) | (CLASSIFIER) | | (25) | END |
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