Sentiment Analysis of Customer Review Datasets

Analyzing and classify sentiment in customer reviews using Natural Language Processing (NLP) techniques, and evaluating performances of differing models and techniques.

File Information

Data Folders:

• raw_data: raw text files for customer reviews, in original format.
• data: raw dataframe .csv files, unclean but parsed and formatted
• processed_data: dataframe .csv files after cleaning and preprocessing

Notebooks:

• load_datasets.ipynb: notebook used for parsing the raw review text content into formatted dataframes and .csv files
• preprocessing_data.ipynb: notebook used for cleaning and preprocessing text content for use with other models. Processed Data stored into processed_data.

---

Source

Link to dataset source