Sentiment Analysis on Covid 19 tweets using Python ( Deep Learning concepts)
Initially we load the tweets from twitter based on the following hashtags,
#COVID-19, #Coronavirus, #socialdistance, #lockdown, #vaccine, #Quarantine, # stayhomesafe
These tweets were collected from twitter with geographical location. Next, We perform the
pre-processing step.The Pre-processing steps includes four steps Noise removal, corrections, tokenization and normalization. After completing pre-processing, we perform sentiment classification, in this step we used conditional generative adversarial network, which includes the following layer and neural networkssuch as word emebedding layer, generator and discriminator. Finally the proposed work is evaluated ion terms of metrics susch as accuracy vs number of iterations, Precision vs number of iterations, Recall vs number of iterations, F-Measure vs Bumber of Iterations and ROC ( True Postive Rate vs False Postiive Rate)
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