moved to AmazonBookReviewProj
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Updated
Mar 24, 2017 - CSS
moved to AmazonBookReviewProj
[WIP] Deep Learning Notes from Ian Ian Goodfellow's Book
Using natural language processing to find characters and plot events in book reviews
Book review application, Python & Django-powered.
Using machine learning to classify book reviews based on genre
Using machine learning to cluster book reviews based on genre
First Capstone for Springboard Career Track: Predicting book ratings from Amazon review text
Book recommendation using any given favorite book.
Application to take note of film/tv-series watched and book readings
Reviews of great books and reading materials on the subject of Humane Technology
A website for reviewing books. Built using Flask and PostgreSQL database.
[데이터 중심 애플리케이션 설계 ] 북 스터디의 Summary Note와 자료 모음집입니다.
📚⚡A webapp where user can post reviews and ratings for a book and can also watch the Goodreads reviews and ratings of a book
Uses APIs from Equella, LimeSurvey and Piwik to display books and book reviews
A task of sentiment analysis. Classify the Bengali book reviews into positive and negative sentiment.
In this project amazon website's book review data has been analyzed and create a model. This model will give the answer of POSITIVE/NEGATIVE/NEUTRAL according to the comment
Visualisation and Analysis [EDA] of the boooks-review dataset in R and python using different libraries.
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