
In this project, a Recurrent Neural Network (RNN) model was developed to classify tweets as complaints or non-complaints directed towards airlines. The project involved several steps, starting with data acquisition, where tweets were downloaded and extracted. Preprocessing steps included cleaning the text by removing URLs, converting mentions and hashtags, eliminating numbers and punctuation, and applying lemmatization. The data was then tokenized and sequenced for model input.