/SentimentAnalysis-CustomerReviews

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.

Primary LanguageJupyter Notebook

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://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