I. Contents of the Artefacts 1. Datasets • HTL_Transformed.csv: The pre-processed data used in rapidminer process • HTL: The pre-processed data for python code. 2. Model • Final result Rapidminer process results of all the machine learning models • Rapidminer Process for SA.rmp – Rapid miner process for machine learning models implementation, this file needs to be run on rapid miner for the process. 3. python code sentiment_analysis_arabic_hotel_reviews.ipynb: Primary code required to execute sentimental analysis Bi-LSTM model. open this file in jupyter to run the python code for Bi-LSTM Model 4. Readme: Explains the contents of the Artefacts, how to implement the code on jupyter. 5. Report-10510188 sentimental analysis.doc- contains full report on how the process is done.