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An exploratory analysis of the Amazon Book Reviews. An expansion to this project is carried out using Collaborative Filtering models from the research: A Comparative Analysis of Amazon Book Ratings Using Collaborative Filtering.
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The general idea behind this research is to identify and establish a pattern or a set of patterns and relationships among a plethora of features available within the acquired data. A thorough analysis is performed by using a multitude of tools and packages using Python so that a set of statistical and/or machine learning models can be applied to accomplish better generalization.
├── LICENSE
├── Makefile <- Makefile with commands.
├── README.md <- The top-level README for developers using this project.
├── data
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├── features <- Set of files to construct a more readable and useable data.
| |── data_filtering.py <- Script that filters through the data and keeps important features.
| |── data_processing.py <- File where data is cleaned and visually analyzed for its distribution.
| |── data_inspection.py <- Script to observe and search for patterns and relationship among various features.
| └── nlp.py <- Text from the review features are processed and analyzed for better intuition.
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├── figures <- Generated graphics and figures to be used in reporting (includes IDE and Notebooks generated graphs).
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├── notebooks <- Additional script for Jupyter Notebooks for better visualization.
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├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
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├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
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├── visualization <- Create exploratory and results oriented visualizations.
| |── analysis_charts.py <- Script to better facilitate abstractions for generating simple graphs.
| └── mining_charts.py <- Can be used to generate a more specific type of graph to be utilized during data inspection.
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└── tox.ini <- tox file with settings for running tox; see tox.readthedocs.io
- pandas 2.0.0
- plotly 5.15.0
- missingno 0.5.2
- vaderSentiment 3.3.2
- spacy 3.5.3
- matplotlib 3.7.1
- seaborn 0.12.2
- wordcloud 1.9.2
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