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Notebooks of our research and modelling for Sentiment Prediction on Hotel Reviews

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CC22-HO01-TravelokaSigapore-HotelRanks/Sentiment-Prediction-Modelling

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Hotel Reviews Sentiment Prediction

Notebooks of our research and modelling for Sentiment Prediction of Hotel Reviews. This pre-trained model can be downloaded through this link. This model was trained on Hotel Reviews data on Kaggle. This model is also utilized on Pre-Trained Embedding on Multilingual Embeddings by Google that can be found here.

Information Value
Model Structure Pre Trained Embedding - Dense - Dense(Sigmoid)
Model Input List of strings, uncased (lower string), alphabetic (word only)
Model Output Sigmoid values [0..1] where 0 is negative sentiment and 1 is positive sentiment

This model is being implemented on out system.

CC22-HO01 ML Teams.