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In this project, customer reviews from Amazon.com are pre-processed, analyzed using our proposed framework, and how these textual reviews justify the star ratings is studied. Features derived from textual reviews are used to predict its corresponding star ratings.

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tapariaankit/SentimentAnalysis-CustomerReviews

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Sentiment Analysis: Predicting Overall Ratings of Products using Customer Reviews

DataSet Used

We used a 5-core Amazon review dataset provided by (Ni, 2018). The chosen dataset contains product reviews of Cell phones and Accessories purchased from Amazon.com.

Ni, J. (2018). Amazon review data (2018): https://nijianmo.github.io/amazon/index.html.
DataSet direct download link : http:https://deepyeti.ucsd.edu/jianmo/amazon/categoryFilesSmall/Cell_Phones_and_Accessories_5.json.gz

Analysis and Implementation

Analysis and Code available in JupyterNotebook - ReviewAnalysis.ipynb

Minutes of meetings

Minutes of meetings can be found in the file - Minutes of meetings-Group14-TA-CS7IS4

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In this project, customer reviews from Amazon.com are pre-processed, analyzed using our proposed framework, and how these textual reviews justify the star ratings is studied. Features derived from textual reviews are used to predict its corresponding star ratings.

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