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NLP task using Latent Disrichlet Analysis to dig out Hotel modifications among reviews.

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Dunn-Kim/LDA_BNCS411_Project

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This is the BNCS411_ Machine Learning Introductory Class Project.

We choose to use the LDA { Latent Dirichlet Allocation } Natural Language Processing unit for processing the topic keywords. The dataset for this was a Hotel reviews dataset from Kaggle, and made a presumption of Hotel owner who had to look for Progress among the services.

Both Positive and Negative Factor were constructed considering the Owner

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NLP task using Latent Disrichlet Analysis to dig out Hotel modifications among reviews.

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